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  • Dhirendra Sinha

    Published by Packt Publishing, 2024

    ISBN 10: 1805124994 ISBN 13: 9781805124993

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Enhance your system design skills to build scalable and efficient systems by working through real-world case studies and expert strategies to excel in interviewsKey Features: Comprehensive coverage of distributed systems concepts and practical system design techniques. Insider tips and proven strategies from engineering leaders at top tech companies. Detailed case studies of widely used applications and their system architectures. Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Building scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies.This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you'll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways.By the end of this book, you'll be equipped with unique techniques and the confidence to solve any coding interview question.What You Will Learn: Design for scalability and efficiency with expert insights Apply distributed system theorems and attributes Implement DNS, databases, caches, queues, and APIs Analyze case studies of real-world systems Discover tips to excel in system design interviews with confidence Apply industry-standard methodologies for system design and evaluation Explore the architecture and operation of cloud-based systemsWho this book is for:This book is a must-have resource for experienced software professionals, particularly those with 5-15 years of experience in building scalable distributed systems, web applications, and backend microservices. Whether you're a seasoned developer or an architect looking to deepen your expertise in system design, this book provides the insights and practical knowledge you need to excel in tech interviews and advance your career. A solid foundation in distributed systems, data structures/algorithms, and web development will help you get the most out of this comprehensive guide.Table of Contents Basics of System Design Distributed System Attributes Distributed Systems Theorems and Data Structures Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways Design and Implementation of System Components - Databases and Storage Distributed Cache Pub/Sub and Distributed Queues Design and Implementation of System Components: API, Security, and Metrics System Design - URL Shortener System Design - Proximity Service Designing a Service Like Twitter Designing a Service Like Instagram Designing a Service Like Google Docs Designing a Service Like Netflix Tips for Interviewees System Design Cheat Sheet.

  • Leondra R. Gonzalez

    Published by Packt Publishing, 2024

    ISBN 10: 1805120506 ISBN 13: 9781805120506

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    US$ 36.76 shipping from Germany to U.S.A.

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much moreKey FeaturesAcquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learningGain the confidence to explain complex statistical, machine learning, and deep learning theoryExtend your expertise beyond model development with version control, shell scripting, and model deployment fundamentalsPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you'll find tips on job hunting, resume writing, and creating a top-notch portfolio. You'll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you'll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learnExplore data science trends, job demands, and potential career pathsSecure interviews with industry-standard resume and portfolio tipsPractice data manipulation with Python and SQLLearn about supervised and unsupervised machine learning modelsMaster deep learning components such as backpropagation and activation functionsEnhance your productivity by implementing code versioning through GitStreamline workflows using shell scripting for increased efficiencyWho this book is forWhether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.Table of ContentsExploring the Modern Data Science LandscapeFinding a Job in Data ScienceProgramming with PythonVisualizing Data and Data StorytellingQuerying Databases with SQLScripting with Shell and Bash Commands in LinuxUsing Git for Version ControlMining Data with Probability and StatisticsUnderstanding Feature Engineering and Preparing Data for ModelingMastering Machine Learning ConceptsBuilding Networks with Deep LearningImplementing Machine Learning Solutions with MLOpsMastering the Interview RoundsNegotiating Compensation.