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| doordash data engineer interview: Grokking the System Design Interview Design Gurus, 2021-12-18 This book (also available online at www.designgurus.org) by Design Gurus has helped 60k+ readers to crack their system design interview (SDI). System design questions have become a standard part of the software engineering interview process. These interviews determine your ability to work with complex systems and the position and salary you will be offered by the interviewing company. Unfortunately, SDI is difficult for most engineers, partly because they lack experience developing large-scale systems and partly because SDIs are unstructured in nature. Even engineers who've some experience building such systems aren't comfortable with these interviews, mainly due to the open-ended nature of design problems that don't have a standard answer. This book is a comprehensive guide to master SDIs. It was created by hiring managers who have worked for Google, Facebook, Microsoft, and Amazon. The book contains a carefully chosen set of questions that have been repeatedly asked at top companies. What's inside? This book is divided into two parts. The first part includes a step-by-step guide on how to answer a system design question in an interview, followed by famous system design case studies. The second part of the book includes a glossary of system design concepts. Table of Contents First Part: System Design Interviews: A step-by-step guide. Designing a URL Shortening service like TinyURL. Designing Pastebin. Designing Instagram. Designing Dropbox. Designing Facebook Messenger. Designing Twitter. Designing YouTube or Netflix. Designing Typeahead Suggestion. Designing an API Rate Limiter. Designing Twitter Search. Designing a Web Crawler. Designing Facebook's Newsfeed. Designing Yelp or Nearby Friends. Designing Uber backend. Designing Ticketmaster. Second Part: Key Characteristics of Distributed Systems. Load Balancing. Caching. Data Partitioning. Indexes. Proxies. Redundancy and Replication. SQL vs. NoSQL. CAP Theorem. PACELC Theorem. Consistent Hashing. Long-Polling vs. WebSockets vs. Server-Sent Events. Bloom Filters. Quorum. Leader and Follower. Heartbeat. Checksum. About the Authors Designed Gurus is a platform that offers online courses to help software engineers prepare for coding and system design interviews. Learn more about our courses at www.designgurus.org. |
| doordash data engineer interview: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| doordash data engineer interview: System Design Interview - An Insider's Guide Alex Xu, 2020-06-12 The system design interview is considered to be the most complex and most difficult technical job interview by many. Those questions are intimidating, but don't worry. It's just that nobody has taken the time to prepare you systematically. We take the time. We go slow. We draw lots of diagrams and use lots of examples. You'll learn step-by-step, one question at a time.Don't miss out.What's inside?- An insider's take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 16 real system design interview questions with detailed solutions.- 188 diagrams to visually explain how different systems work. |
| doordash data engineer interview: Deep Learning and the Game of Go Kevin Ferguson, Max Pumperla, 2019-01-06 Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning |
| doordash data engineer interview: Voices from the Valley Ben Tarnoff, Moira Weigel, 2020-10-13 From FSGO x Logic: anonymous interviews with tech workers at all levels, providing a bird's-eye view of the industry In Voices from the Valley, the celebrated writers and Logic cofounders Moira Weigel and Ben Tarnoff take an unprecedented dive into the tech industry, conducting unfiltered, in-depth, anonymous interviews with tech workers at all levels, including a data scientist, a start-up founder, a cook who serves their lunch, and a PR wizard. In the process, Weigel and Tarnoff open the conversation about the tech industry at large, a conversation that has previously been dominated by the voices of CEOs. Deeply illuminating, revealing, and at times lurid, Voices from the Valley is a vital and comprehensive view of an industry that governs our lives. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today. |
| doordash data engineer interview: Building Mobile Apps at Scale Gergely Orosz, 2021-04-06 While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on centralized teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do world-class mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size? |
| doordash data engineer interview: Advanced Swift Chris Eidhof, Airspeed Velocity, 2016-03-18 Advanced Swift takes you through Swift's features, from low-level programming to high-level abstractions. In this book, we'll write about advanced concepts in Swift programming. If you have read the Swift Programming Guide, and want to explore more, this book is for you. Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals). |
| doordash data engineer interview: Blockchain Chicken Farm Xiaowei Wang, 2020-10-13 A New York Times Book Review Editors' Choice A brilliant and empathetic guide to the far corners of global capitalism. --Jenny Odell, author of How to Do Nothing From FSGO x Logic: stories about rural China, food, and tech that reveal new truths about the globalized world In Blockchain Chicken Farm, the technologist and writer Xiaowei Wang explores the political and social entanglements of technology in rural China. Their discoveries force them to challenge the standard idea that rural culture and people are backward, conservative, and intolerant. Instead, they find that rural China has not only adapted to rapid globalization but has actually innovated the technology we all use today. From pork farmers using AI to produce the perfect pig, to disruptive luxury counterfeits and the political intersections of e-commerce villages, Wang unravels the ties between globalization, technology, agriculture, and commerce in unprecedented fashion. Accompanied by humorous “Sinofuturist” recipes that frame meals as they transform under new technology, Blockchain Chicken Farm is an original and probing look into innovation, connectivity, and collaboration in the digitized rural world. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today. |
| doordash data engineer interview: Traversing the Traction Gap Bruce Cleveland, Wildcat Venture Partners, 2019-02-21 Traction. Startups Need It. Learn How To Get It. Vision, groundbreaking ideas, total commitment, and boundless enthusiasm characterize most startups, but they require capital to go from promising product to scalable business. More than 80 percent of all early-stage startups fail. Most of them can build a product, but the vast majority stumble when it comes time to take those products to market due to poor “market engineering” skills. Traversing the Traction Gap exposes the reasons behind that scary failure rate and provides a prescriptive how-to guide, focused specifically on market engineering techniques, so startups can succeed. The go-to-market hurdle is insurmountable to many startups. Just when they most need to establish a foothold in the market, they run short on time and money. This is the Traction Gap, that period of time introducing a new product into the marketplace and being able to scale it during a rapidly closing window of opportunity. Traversing the Traction Gap is a practical guidebook for navigating the tumultuous early life of a startup. Based on real-life examples, the advice from Cleveland and the members of the Wildcat Venture Partners team provides a roadmap and metrics for succeeding where others have failed. |
| doordash data engineer interview: Ghost Work Mary L. Gray, Siddharth Suri, 2019 A startling exposé of the invisible human workforce that powers the web--and how to bring it out of the shadows. Hidden beneath the surface of the internet, a new, stark reality is looming--one that cuts to the very heart of our endless debates about the impact of AI. Anthropologist Mary L. Gray and computer scientist Siddharth Suri unveil how the services we use from companies like Amazon, Google, Microsoft, and Uber can only function smoothly thanks to the judgment and experience of a vast human labor force that is kept deliberately concealed. The people who do 'ghost work' make the internet seem smart. They perform high-tech, on-demand piecework: flagging X-rated content, proofreading, transcribing audio, confirming identities, captioning video, and much more. The shameful truth is that no labor laws protect them or even acknowledge their existence. They often earn less than legal minimums for traditional work, they have no health benefits, and they can be fired at any time for any reason, or for no reason at all. An estimated 8 percent of Americans have worked in this 'ghost economy,' and that number is growing every day. In this unprecedented investigation, Gray and Suri make the case that robots will never completely eliminate 'ghost work' and the unchecked quest for artificial intelligence could spark catastrophic work conditions if not stopped in its tracks. Ultimately, they show how this essential type of work can create opportunity--rather than misery--for those who do it.--Dust jacket. |
| doordash data engineer interview: Monolith to Microservices Sam Newman, 2019-11-14 How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture. With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture. Ideal for organizations looking to transition to microservices, rather than rebuild Helps companies determine whether to migrate, when to migrate, and where to begin Addresses communication, integration, and the migration of legacy systems Discusses multiple migration patterns and where they apply Provides database migration examples, along with synchronization strategies Explores application decomposition, including several architectural refactoring patterns Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more |
| doordash data engineer interview: Algorithms, Part II Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| doordash data engineer interview: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| doordash data engineer interview: The Google Resume Gayle Laakmann McDowell, 2011-01-25 The Google Resume is the only book available on how to win a coveted spot at Google, Microsoft, Apple, or other top tech firms. Gayle Laakmann McDowell worked in Google Engineering for three years, where she served on the hiring committee and interviewed over 120 candidates. She interned for Microsoft and Apple, and interviewed with and received offers from ten tech firms. If you’re a student, you’ll learn what to study and how to prepare while in school, as well as what career paths to consider. If you’re a job seeker, you’ll get an edge on your competition by learning about hiring procedures and making yourself stand out from other candidates. Covers key concerns like what to major in, which extra-curriculars and other experiences look good, how to apply, how to design and tailor your resume, how to prepare for and excel in the interview, and much more Author was on Google’s hiring committee; interned at Microsoft and Apple; has received job offers from more than 10 tech firms; and runs CareerCup.com, a site devoted to tech jobs Get the only comprehensive guide to working at some of America’s most dynamic, innovative, and well-paying tech companies with The Google Resume. |
| doordash data engineer interview: Ace the Data Science Interview Kevin Huo, Nick Singh, 2021 |
| doordash data engineer interview: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| doordash data engineer interview: Talent Makers Daniel Chait, Jon Stross, 2021-03-30 Powerful ideas to transform hiring into a massive competitive advantage for your business Talent Makers: How the Best Organizations Win through Structured and Inclusive Hiring is essential reading for every leader who knows that hiring is crucial to their organization and wants to compete for top talent, diversify their organization, and build winning teams. Daniel Chait and Jon Stross, co-founders of Greenhouse Software, Inc, provide readers with a comprehensive and proven framework to improve hiring quickly, substantially, and measurably. Talent Makers will provide a step-by-step plan and actionable advice to help leaders assess their talent practice (or lack thereof) and transform hiring into a measurable competitive advantage. Readers will understand and employ: A proven system and principles for hiring used by the world's best companies Hiring practices that remove bias and result in more diverse teams An assessment of their hiring practice using the Hiring Maturity model Measurement of employee lifetime value in quantifiable terms, and how to increase that value through hiring The Talent Makers methodology is the result of the authors’ experience and the ideas and stories from their community of more than 4,000 organizations. This is the book that CEOs, hiring managers, talent practitioners, and human resources leaders must read to transform their hiring and propel their organization to new heights. |
| doordash data engineer interview: Land Your Dream Design Job Dan Shilov, 2020-09 You've just found the most detailed guide ever written to landing a product design job. Understand what you want, build your portfolio, interview with confidence, and get the job that's right for you. |
| doordash data engineer interview: Web Scalability for Startup Engineers Artur Ejsmont, 2015-07-03 This invaluable roadmap for startup engineers reveals how to successfully handle web application scalability challenges to meet increasing product and traffic demands. Web Scalability for Startup Engineers shows engineers working at startups and small companies how to plan and implement a comprehensive scalability strategy. It presents broad and holistic view of infrastructure and architecture of a scalable web application. Successful startups often face the challenge of scalability, and the core concepts driving a scalable architecture are language and platform agnostic. The book covers scalability of HTTP-based systems (websites, REST APIs, SaaS, and mobile application backends), starting with a high-level perspective before taking a deep dive into common challenges and issues. This approach builds a holistic view of the problem, helping you see the big picture, and then introduces different technologies and best practices for solving the problem at hand. The book is enriched with the author's real-world experience and expert advice, saving you precious time and effort by learning from others' mistakes and successes. Language-agnostic approach addresses universally challenging concepts in Web development/scalability—does not require knowledge of a particular language Fills the gap for engineers in startups and smaller companies who have limited means for getting to the next level in terms of accomplishing scalability Strategies presented help to decrease time to market and increase the efficiency of web applications |
| doordash data engineer interview: Become an Effective Software Engineering Manager James Stanier, 2020-06-09 Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does it even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully. Going from engineer to manager doesn't have to be intimidating. Engineers can be managers, and fantastic ones at that. Cast aside the rhetoric and focus on practical, hands-on techniques and tools. You'll become an effective and supportive team leader that your staff will look up to. Start with your transition to being a manager and see how that compares to being an engineer. Learn how to better organize information, feel productive, and delegate, but not micromanage. Discover how to manage your own boss, hire and fire, do performance and salary reviews, and build a great team. You'll also learn the psychology: how to ship while keeping staff happy, coach and mentor, deal with deadline pressure, handle sensitive information, and navigate workplace politics. Consider your whole department. How can you work with other teams to ensure best practice? How do you help form guilds and committees and communicate effectively? How can you create career tracks for individual contributors and managers? How can you support flexible and remote working? How can you improve diversity in the industry through your own actions? This book will show you how. Great managers can make the world a better place. Join us. |
| doordash data engineer interview: Principles of Computer System Design Jerome H. Saltzer, M. Frans Kaashoek, 2009-05-21 Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture.Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs.The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. - Concepts of computer system design guided by fundamental principles - Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering - Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) - Numerous pseudocode fragments that provide concrete examples of abstract concepts - Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects |
| doordash data engineer interview: Machine Landscapes Liam Young, 2019-02-11 The most significant architectural spaces in the world are now entirely empty of people. The data centres, telecommunications networks, distribution warehouses, unmanned ports and industrialised agriculture that define the very nature of who we are today are at the same time places we can never visit. Instead they are occupied by server stacks and hard drives, logistics bots and mobile shelving units, autonomous cranes and container ships, robot vacuum cleaners and internet-connected toasters, driverless tractors and taxis. This issue is an atlas of sites, architectures and infrastructures that are not built for us, but whose form, materiality and purpose is configured to anticipate the patterns of machine vision and habitation rather than our own. We are said to be living in a new geological epoch, the Anthropocene, in which humans are the dominant force shaping the planet. This collection of spaces, however, more accurately constitutes an era of the Post-Anthropocene, a period where it is technology and artificial intelligence that now computes, conditions and constructs our world. Marking the end of human-centred design, the issue turns its attention to the new typologies of the post-human, architecture without people and our endless expanse of Machine Landscapes. Contributors: Rem Koolhaas, Merve Bedir and Jason Hilgefort, Benjamin H Bratton, Ingrid Burrington, Ian Cheng, Cathryn Dwyre, Chris Perry, David Salomon and Kathy Velikov, John Gerrard, Alice Gorman, Adam Harvey, Jesse LeCavalier, Xingzhe Liu, Clare Lyster, Geoff Manaugh, Tim Maughan, Simone C Niquille, Jenny Odell, Trevor Paglen, Ben Roberts. Featured interviews: Deborah Harrison, designer of Microsoft’s Cortana; and Paul Inglis, designer of the urban landscapes of Blade Runner 2049. |
| doordash data engineer interview: The Entrepreneur's Roadmap New York Stock Exchange, 2017-06 Entrepreneur's guide for starting and growing a business to a public listing |
| doordash data engineer interview: 101 Asian Dishes You Need to Cook Before You Die Jet Tila, 2017-06-27 Celebrity chef, Asian cooking expert and TV personality Jet Tila has compiled the best-of-the-best 101 Eastern recipes that every home cook needs to try before they die! The dishes are authentic yet unique to Jet--drawn from his varied cooking experience, unique heritage and travels. The dishes are also approachable--with simplified techniques, weeknight-friendly total cook times and ingredients commonly found in most urban grocery stores today. |
| doordash data engineer interview: We've Got People Ryan Grim, 2019-05-23 Alexandria Ocasio-Cortez may seem like she came from nowhere, but the movement that propelled her to office - and to global political stardom - has been building for 30 years. We've Got People is the story of that movement, which first exploded into public view with the largely forgotten presidential run of the Rev. Jesse Jackson, a campaign that came dangerously close to winning. With the party and the nation at a crossroads, this timely and original book offers new insight into how we've gotten where we are - and where we're headed. |
| doordash data engineer interview: Chew with Your Mind Open Cameron Day, 2021-06-30 Allow me to blast a ray of sunshine through the murky clouds hovering over advertising agencies and marketing departments alike. If you've got talent, I can keep you from rolling an embarrassing string of gutter balls. Chew With Your Mind Open is here to make it make sense to the degree that advertising ever will. The politics. The personalities. The nonstop problems in need of smart and effective solutions. I was lucky. I had a great thinker in my corner for over two decades. A rock-solid, real-live 24/7 mentor. My father, Guy Day, knew the advertising racket well and was no stranger to remarkable creative work. He co-founded Chiat/Day as a writer and was the agency's president, twice. My dad helped inspire some of the best advertising of the 20th century, Apple's 1984 Super Bowl spot for example. He also inspired me. What my father gave me, is what I'm now ready to give you. Just enough big-picture guidance to be dangerous. My advice can keep you from falling into unproductive time-sucks and sinking in conceptual quicksand. I'll help you avoid the chronic wallowing, unneeded politicking, and blame game that's all too common in the business. I'll help you develop good habits that will serve you well in the worst of times. Throughout my book, I'll share how I got -- and still get -- my best thinking through the gauntlet without collecting a huge assortment of knives in my back. Granted, a few of them will be unavoidable. I'll address that part, too. My knowledge comes from real-life experiences, and my book is broken down by subject and is served one easily digestible nugget at a time. Sometimes my experiences are funny, other times embarrassing, but they always reveal an underlying truth and a learning opportunity that could spare you some scar tissue. Along the way, readers will be in the room with me as I present work, defend it, debate clients, and push the best thinking forward. |
| doordash data engineer interview: Sweaty Palms H. Anthony Medley, 2005-05-19 A newly updated edition of the comprehen-sive guide to job interviews that has over a half million copies in print, SWEATY PALMS teaches readers everything they need to know in order to land the job of their dreams. Whether a first-time job seeker searching for that elusive entry-level position or a seasoned employee fac-ing tougher and tougher competition in a difficult economy, SWEATY PALMS takes readers through each step of the interviewing process, from preparation to dress to negotiating an offer. Including hundreds of interview questions and sample answers, SWEATY PALMS prepares job seekers for even the wiliest inter-viewer. H. Anthony Medley, who has interviewed countless job seekers over the years, offers readers an honest view from ¿the other side of the desk.¿ He draws on a wide variety of sources, from celebrities dis-cussing how they got their jobs, to employers revealing what they look for in an ideal candidate.This new edi-tion of SWEATY PALMS, which has been a vital tool in the job-interview market for decades, reflects cut-ting-edge changes to interviewing, including the pros and cons of e-mail resumes, thank-you notes, proper dress in the corporate-casual age, and the unique chal-lenges of landing a job in the 21st century. |
| doordash data engineer interview: The Secret Handshake Kathleen Kelley Reardon, Ph.D., 2011-05-25 In The Secret Handshake, top corporate consultant and USC management professor Kathleen Reardon explores and reveals the hidden rules on the ins and outs of corporate politics that you won’t find outlined in any employee handbook. Based on hundreds of candid interviews with executives at Fortune 500 companies who have achieved their goals and joined the inner circle, The Secret Handshake lays bare the unstated conventions that govern and shape corporate hierarchies. Taking readers inside boardrooms to learn firsthand how the top decision-makers view and assess the employees under them, it offers invaluable advice on such career-building tactics and skills as getting noticed, networking, persuading others, knowing which battles to fight, and mastering the art of the quid pro quo. For all those who aspire to be part of the decision-making body of their organization, The Secret Handshake is the ultimate intelligence report on whom to trust and whom to watch out for, how to manage the inevitable conflicts that will arise, and how to read between the corporate lines. |
| doordash data engineer interview: The Algorithm Design Manual Steven S Skiena, 2009-04-05 This newly expanded and updated second edition of the best-selling classic continues to take the mystery out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW war stories relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java |
| doordash data engineer interview: Smokin' with Myron Mixon Myron Mixon, Kelly Alexander, 2011-05-10 The winningest man in barbecause shares the secrets of his success. Rule number one? Keep it simple. In the world of competitive barbecue, nobody’s won more prize money, more trophies, or more adulation than Myron Mixon. And he comes by it honestly: From the time he was old enough to stoke a pit, Mixon learned the art of barbecue at his father’s side. He grew up to expand his parent’s sauce business, Jack’s Old South, and in the process became the leader of the winningest team in competitive barbecue. It’s Mixon’s combination of killer instinct and killer recipes that has led him to three world championships and more than 180 grand championships and made him the breakout star of TLC’s BBQ Pitmasters. Now, for the first time, Mixon’s stepping out from behind his rig to teach you how he does it. Rule number one: People always try to overthink barbecue and make it complicated. Don’t do it! Mixon will show you how you can apply his “keep it simple” mantra in your own backyard. He’ll take you to the front lines of barbecue and teach you how to turn out ’cue like a seasoned pro. You’ll learn to cook like Mixon does when he’s on the road competing and when he’s at home, with great tips on • the basics, from choosing the right wood to getting the best smoker or grill • the formulas for the marinades, rubs, injections, and sauces you’ll need • the perfect ways to cook up hog, ribs, brisket, and chicken, including Mixon’s famous Cupcake Chicken Mixon shares more than 75 of his award-winning recipes—including one for the most sinful burger you’ll ever eat—and advice that will end any anxiety over cooking times and temps and change your backyard barbecues forever. He also fills you in on how he rose to the top of the competitive barbecue universe and his secrets for succulent success. Complete with mouth-watering photos, Smokin’ with Myron Mixon will fire you up for a tasty time. |
| doordash data engineer interview: Distributed Systems with Node.js Thomas Hunter II, 2020-11-04 Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js for its approachable API and familiar syntax. Backed by the world's largest package repository, Node's enterprise foothold is only expected to grow. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack. Learn why running redundant copies of the same Node.js service is necessary Know which protocol to choose, depending on the situation Fine-tune your application containers for use in production Track down errors in a distributed setting to determine which service is at fault Simplify app code and increase performance by offloading work to a reverse proxy Build dashboards to monitor service health and throughput Find out why so many different tools are required when operating in an enterprise environment |
| doordash data engineer interview: Machine Learning Design Patterns Valliappa Lakshmanan, Sara Robinson, Michael Munn, 2020-10-15 The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly |
| doordash data engineer interview: Be the Outlier Shrilata Murthy, 2020-07-27 According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science. |
| doordash data engineer interview: Engineering MLOps Emmanuel Raj, 2021-04-19 Get up and running with machine learning life cycle management and implement MLOps in your organization Key FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsPerform CI/CD to automate new implementations in ML pipelinesBook Description Engineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production. The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you'll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You'll learn how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you'll apply the knowledge you've gained to build real-world projects. By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization. What you will learnFormulate data governance strategies and pipelines for ML training and deploymentGet to grips with implementing ML pipelines, CI/CD pipelines, and ML monitoring pipelinesDesign a robust and scalable microservice and API for test and production environmentsCurate your custom CD processes for related use cases and organizationsMonitor ML models, including monitoring data drift, model drift, and application performanceBuild and maintain automated ML systemsWho this book is for This MLOps book is for data scientists, software engineers, DevOps engineers, machine learning engineers, and business and technology leaders who want to build, deploy, and maintain ML systems in production using MLOps principles and techniques. Basic knowledge of machine learning is necessary to get started with this book. |
| doordash data engineer interview: The Rideshare Guide Harry Campbell, 2018-04-03 An industry leader's guide to making Lyft and Uber work for you. In less than five years, ridesharing has grown from nonexistence into a billion dollar industry. Uber now has two million drivers in the United States, Lyft has seven hundred thousand, and both show no signs of slowing down. Despite the large number of drivers, Uber and Lyft provide little in the way of help for new drivers, who complain that there is a lack of guidance when starting out. Harry Campbell, founder and director of The Rideshare Guy blog and podcast and a driver himself, can help. The Rideshare Guide offers a comprehensive and engaging handbook for current and prospective rideshare drivers. Learn how to: Decide between Uber and Lyft Maximize passengers and profits Maintain a five-star rating Keep safe and interact appropriately with passengers Navigate legal matters and tax codes Campbell explains these and much more, also including funny, shocking, and bizarre tales from the road. Whether you are thinking about becoming a driver or a veteran wondering about UberPool and tax help, The Rideshare Guide by the Rideshare Guy has the answers. |
| doordash data engineer interview: Artificial Intelligence in Education Ido Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova, 2021-06-11 This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop papers were carefully reviewed and selected from 209 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic. |
| doordash data engineer interview: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use |
| doordash data engineer interview: The Psychology of Silicon Valley Katy Cook, 2019-10-15 Misinformation. Job displacement. Information overload. Economic inequality. Digital addiction. The breakdown of democracy, civility, and truth itself. This open access book explores the conscious and unconscious norms, values, and characteristics that drive behaviors within the high-tech capital of the world, Silicon Valley, and the sector it represents. In an era where the reach and influence of a single industry has the potential to define the future of our world, it has become apparent just how little we know about the organizations driving these changes. The Psychology of Silicon Valley offers a revealing look inside the mind of world’s most influential industry and how the identity, culture, myths, and motivations of Big Tech are harming society. The book argues that the bad values and lack of emotional intelligence borne in the vacuum of Silicon Valley will have lasting consequences on everything from social equality to the future of work to our collective mental health. Katy Cook expertly walks us through the psychological landscape of Silicon Valley, including its leadership, ethical, and cultural problems, and artfully explains why we cannot afford to ignore the psychology and values that are behind our technology any longer. |
| doordash data engineer interview: Cracking the Data Engineering Interview Kedeisha Bryan, Taamir Ransome, 2023-11-07 Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers Key Features Develop your own brand, projects, and portfolio with expert help to stand out in the interview round Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey. The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions. By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.What you will learn Create maintainable and scalable code for unit testing Understand the fundamental concepts of core data engineering tasks Prepare with over 100 behavioral and technical interview questions Discover data engineer archetypes and how they can help you prepare for the interview Apply the essential concepts of Python and SQL in data engineering Build your personal brand to noticeably stand out as a candidate Who this book is for If you’re an aspiring data engineer looking for guidance on how to land, prepare for, and excel in data engineering interviews, this book is for you. Familiarity with the fundamentals of data engineering, such as data modeling, cloud warehouses, programming (python and SQL), building data pipelines, scheduling your workflows (Airflow), and APIs, is a prerequisite. |
| doordash data engineer interview: Interview Math Lewis C. Lin, 2015-01-12 Interview Math provides over 50 practice problems and answers to help job seekers master quantitative interview questions including: Market Sizing Revenue Estimates Profitability Breakeven Pricing Customer Lifetime Value If you're interviewing at one of the highly sought after positions below, you'll need to master these interview math questions: Management Consulting: McKinsey, Bain, Boston Consulting Group, Deloitte General Management: Capital One, Taser Marketing: General Mills, Google, Hershey Software Engineering: Goldman Sachs, Microsoft Finance: American Airlines, Best Buy, JetBlue You'll learn interview math concept and principles - and then master those concepts with over 50 practice questions filled with detailed answers. After going through the book, candidates will feel knowledgeable, confident, relaxed and ready to tackle interview math questions. |
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