Download PDF Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Download PDF Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Download PDF Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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Book Description

The big ideas behind reliable, scalable and maintainable systems

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About the Author

Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes. Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.

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Product details

Paperback: 624 pages

Publisher: O'Reilly Media; 1 edition (April 2, 2017)

Language: English

ISBN-10: 1449373321

ISBN-13: 978-1449373320

Product Dimensions:

7 x 1.2 x 9.2 inches

Shipping Weight: 2.2 pounds (View shipping rates and policies)

Average Customer Review:

4.8 out of 5 stars

141 customer reviews

Amazon Best Sellers Rank:

#1,663 in Books (See Top 100 in Books)

In Silicon Valley, "ability to code" is now the uber-metric to track. Starting from how engineers are interviewed, actual hands-on work (due to processes that overemphasizes "do" over "think, e.g., daily stand-ups require you to say what concrete thing you did yesterday), evaluation of work ("move fast and break things") to over-emphasizing on downstream "fixes" (prod-ops culture, 24*7 firefighting heroism) - the top echelon of technology gravitated towards things that it can see, feel, measure. What often gets neglected in this "code be all" culture is deep understanding of fundamental concepts, and how most newer "innovations" are indeed built on a handful time-honored principles.Nowhere else perhaps is this more prominent than in data space that up-levels libraries and frameworks as the conversation starter. That gets in the way of success. It is indeed impossible to model Cassandra "tables" without understanding - at least - quorum, compaction, log-merge data structure. Due to the way the present day solutions are built ("fits one use case perfectly well"), if these solutions are not implemented well to the particular domain, failure is just a release away.Mr Kleppmann does a great job of articulating the "systems" aspects of data engineering. He starts from a functional 4 lines code to build a database to the way how one can interpret and implement concurrency, serializability, isolation and linearizability (the latter for distributed systems). His book also has over 800 pointers to state of the art research as well as some of the computer science's classic papers. The book slows down its pace on the chapter on Distributed System and on the final one. A good editor could have trimmed about 120 pages and still retain most value one could get from the book.That said, if you ever worked on data systems, especially across paradigms (IMS -> RDBMS -> NoSQL -> Map-Reduce -> Spark -> Streaming -> Polyglot), this book is pretty much only resource out there to tie the "loose ends" and paint a coherent narrative. Highly recommended!

I'm only 3 chapters into this book and I think it deserves a 5 star already.If you are interested in distributed systems or scalability, this book is a must-read for you. It gives you a high level understanding of different technology, including the idea behind it, the pros and cons, and the problem it is trying to solve. A great book for practitioners who want to learn all the essential concepts quickly.I didn't come from a traditional CS background, but I did have some basic knowledge in hardware and data structure. You will need some of that, such as hard disk vs SSD and AVL tree, to understand the materials. If you are completely new to backend or DS, you may want to start with another book "Web Scalability for Startup Engineers." After that book, you can read the free article "Distributed Systems for Fun and Profit" and you are good to go for this amazing book :D

DDIA is easily one of the best tech books of 2017 (possibly this decade) and is destined to become a classic. The book deals with all the stuff that happens around data engineering : storage, models, structures, access patterns, encoding, replication, partitioning, distributed systems, batch & stream processing and the future of data systems (don't expect ML because it is a different beast).Kleppman has coherently blended the relevant computer science theory with modern use cases and applications. The focus is primarily on the core principles and thought-processes that one must apply when it comes to building data services. Design concepts don't go out-of-date soon, so the book has very long shelf-life.The high-point of this book is the author's lucid prose, which indicates mastery of the subject matter and clarity of thought. Conceptualizing reality is an art and the author really shines here. You’ll find that whenever you have a question after reading a particular sentence, the answer to that will be found in the upcoming sentences. It’s like mind-reading.Also kudos to the author for those nice diagrams and interesting maps (and for avoiding mathematical formulas with Greek symbols). The bibliography at the end of each chapter is thorough enough for unending personal research.If you are working on or interviewing for big data engineering, systems design, cloud consulting or devops/SRE, then this book is a keeper for a long-long time.

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Ebook Free Ordinary and Partial Differential EquationsBy Victor Henner, Tatyana Belozerova, Mikhail Khenner

Ebook Free Ordinary and Partial Differential EquationsBy Victor Henner, Tatyana Belozerova, Mikhail Khenner

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Ordinary and Partial Differential EquationsBy Victor Henner, Tatyana Belozerova, Mikhail Khenner

Ebook Free Ordinary and Partial Differential EquationsBy Victor Henner, Tatyana Belozerova, Mikhail Khenner

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Covers ODEs and PDEs―in One Textbook
Until now, a comprehensive textbook covering both ordinary differential equations (ODEs) and partial differential equations (PDEs) didn’t exist. Fulfilling this need, Ordinary and Partial Differential Equations provides a complete and accessible course on ODEs and PDEs using many examples and exercises as well as intuitive, easy-to-use software.

Teaches the Key Topics in Differential Equations
The text includes all the topics that form the core of a modern undergraduate or beginning graduate course in differential equations. It also discusses other optional but important topics such as integral equations, Fourier series, and special functions. Numerous carefully chosen examples offer practical guidance on the concepts and techniques.

Guides Students through the Problem-Solving Process
Requiring no user programming, the accompanying computer software allows students to fully investigate problems, thus enabling a deeper study into the role of boundary and initial conditions, the dependence of the solution on the parameters, the accuracy of the solution, the speed of a series convergence, and related questions. The ODE module compares students’ analytical solutions to the results of computations while the PDE module demonstrates the sequence of all necessary analytical solution steps.

• Sales Rank: #2752852 in Books
• Brand: Brand: A K Peters/CRC Press
• Published on: 2013-01-29
• Original language: English
• Number of items: 1
• Dimensions: 10.25" h x 7.00" w x 1.25" l, 2.80 pounds
• Binding: Hardcover
• 644 pages

Features

• Used Book in Good Condition

Review

"Ordinary and Partial Differential Equations provides college-level readers with a comprehensive textbook covering both ordinary differential equations and partial differential equations, offering a complete course on both under one cover, which makes this a unique contribution to the field. Examples and exercises accompany software supporting these and a text that covers all the basics any undergraduate or beginning graduate course will cover in differential equations. This doesn't require programmer knowledge nor any special computer software outside the disc provided here, and provides in-depth detail for students in the physical, engineering, biological, and math sciences using examples throughout. Very highly recommended for any college collection supporting these disciplines."
―Midwest Book Review

"Henner, Belozerova, and Khenner cover most of the fundamental topics found in introductory ODEs and PDEs courses, nicely balancing scope without sacrificing content. … The authors have managed to provide the right amount of details and have outlined the text in such a way that all material needed to solve the PDEs discussed in Part II can be referenced within the text. This, in my opinion, is the main strength of the book. … this single book could be used successfully for a series of differential equations courses that covered both ODEs and PDEs if the same students took the courses. … This text finds a nice balance between general topics of ODEs and second-order PDEs."
―Joe Latulippe, MAA Reviews, June 2013

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Download Ophthalmology Review ManualBy Kenneth C. Chern, Michael A. Saidel

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This manual provides an organized reference to aid in management of clinical problems and preparation for board exams. A standardized outline format is used in order to emphasize relevant information and allow rapid retrieval of key points. Each section starts with anatomy and physiology—the essential framework for understanding the basis for the related diseases—and then summarizes specific disease entities in outline format, with major features highlighted. For quick reference over 200 specific disease entities are listed, along with corresponding page numbers, on the inside front cover of the book. Figures have been selected to demonstrate classic findings and to highlight important relationships. The manual covers all material listed in the OKAP Subject Outline published by the AAO.

• Sales Rank: #1747286 in eBooks
• Published on: 2011-12-28
• Released on: 2011-12-28
• Format: Kindle eBook

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