Big Data

  • Title: Big Data
  • Author: Nathan Marz Samuel E. Ritchie
  • ISBN: 9781617290343
  • Page: 391
  • Format: ebook
  • [PDF] Download Ù Big Data : by Nathan Marz Samuel E. Ritchie - Big Data, Big Data Services like social networks web analytics and intelligent e commerce often need to manage data at a scale too big for a traditional database As scale and demand increase so does Complexity Fortun
    [PDF] Download Ù Big Data : by Nathan Marz Samuel E. Ritchie - Big Data, Big Data Services like social networks web analytics and intelligent e commerce often need to manage data at a scale too big for a traditional database As scale and demand increase so does Complexity Fortun

    • [PDF] Download Ù Big Data : by Nathan Marz Samuel E. Ritchie
      391Nathan Marz Samuel E. Ritchie
    Big Data

    About Nathan Marz Samuel E. Ritchie


    1. Nathan Marz Samuel E. Ritchie Is a well-known author, some of his books are a fascination for readers like in the Big Data book, this is one of the most wanted Nathan Marz Samuel E. Ritchie author readers around the world.


    813 Comments


    1. The first chapter is definitely worth reading Maybe second one too The rest is way too focused on specific technologies And so it happens, the technologies happen to be created by the authors Too much advertising, not enough of the big picture.

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    2. Controversial book.1 Worst title ever If it wasn t Nathan Marz father of Storm , I d never pick it up.2 It s not just bad title this book is NOT about Big Data or rather, it s about one particular pattern of Big Data usage Lambda Architecture.3 It s great in terms of distributed processing storage considerations best micro batching description analysis ever4 Particular product Kafka, Hadoop, Storm descriptions are controversial Not a deep dive, but author s don t constrain themselves when puttin [...]

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    3. This book was my first exposure to an architecture for dealing with large amounts of data in a holistic way while I m familiar with individual concepts like MapReduce, Column Stores, CAP, etc I ve never thought about them all at as part of the same ecosystem As such, my rating is based on the accessibility and readability of the book, not of the correctness and feasibility of the content.This is the kind of technology stack my current employer is forming a business around and I want to get start [...]

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    4. As written on several other reviews, this book tells a story of one, opinionated approach to the problems in Big Data domain The author, also the creator of many tools in the same domain explains the Lambda Architecture and how can it be used to solve problems faced in realtime data systems.I enjoyed the book He goes with one theoretical chapter following by an illustration chapter where he goes into the implementation of the previous one I ve read the first 4 5 chapters throughly, then read the [...]

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    5. The motivation and concept of the lambda architecture is great It is also really well explained in the first chapter The following chapters did not add much in my eyes and should have been condensed a lot I did not finish the last chapter yet.

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    6. Excellent introduction to the world of Big Data, and the application architectures at play

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    7. Good overview of big data Focuses on his own project, lambda Not really a coding book.

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    8. Nice book that contains many important concepts.

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    9. Big disappointment

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    10. I read this book to sharpen my ability to think about design tradeoffs in the context of large data systems I got what I expected, and Authors Nathan Marz and James Warren introduce their lambda architecture using a hypothetical data platform Their software needs to deliver insights from a massive and continuously growing dataset, and it needs to deliver those insights in timely fashion to the customer Those goals are seemingly at odds, since data means compute load, and therefore latency be [...]

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    11. Fantastic book for big data beginners It helps you understand the intricacies in building the big data systems.Well explained Lambda Architecture.Points out lot of problems faced in monolithic relational databases.

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    12. This is a book about Lambda Architecture and how it is used in the context of Big Data I enjoyed reading about lambda architecture and other related concepts and found them useful since I was a complete beginner in this domain The first few chapters are definitely worth the read, the rest of the chapters I consider architecture reference material too detailed to be remembered and, at the same time, requiring knowledge about the technologies being discussed There were quite a few moments while re [...]

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    13. The title of the Book by famous Nathan Marz is just misleading It is not about Big Data but about Nathan Lambda architecture I ve read it from cover to cover And I have mixed feelings about book From one hand he explained a lot of big data concepts but rest is about implementation of his architecture using mostly with tools created by the author And he focuses too much on his example which in turn makes book too closely tight to certain idea He also mentioned optimizations which could be accepta [...]

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    14. This book is actually a text on the Lambda Architecture, a concept developped by the author also the architect of Storm , where data are immutable and processing combines both batch processing and real time, streamed processing All the text is organized around the Lambda architecture stack, I think the title should have been changed accordingly.Through the book the author detail the role and design of each layer, one chapter on principle, the next one on implementation Most of time the implement [...]

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    15. A journey from core principles through tools and design patterns used to build out large scale data systems with insights into why robust fault tolerant systems need to be designed with fault prone humans in mind If a human can mutate data, then a mistake can mutate data the only solution is to make your core data immutable, with the only write operation allowed being appending new data to your ever growing set of data As others have stated, the title is a bit misleading since this book focuses [...]

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    16. I can t imagine a worse title for this book I ve run into it a lot of times and I was always ignoring it based I had no idea it would presents ideas about the lambda architecture Given the fact there s a lot of theory and a lot of practise I think Lamba architecture in action would have been a much better title.Having said that, I ve enjoyed the writing style a lot The prose is clear and the content is always interesting The book is dense so I can easily imagine to pick it up a few times to rea [...]

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    17. Too much of a specific push on Lambda architecture Understandable considering Marz is considered to be the developer of said architecture, but, given that, it s not an answer to every problem I thought it was pretty good if you re trying to implement the same exact problem, but the practical examples were way too specific to be able to scale and give me an idea of how else they could be implemented in different scenarios The first few chapters were great, the book started veering once it got to [...]

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    18. Mind turned to mush after chapter 3 First 3 chapters are kick ass, then I began to wander It is as though he is channelling Perl programming wherein everything makes sense as you code, but later on you lack context and rationale What is Pail How are you supposed to run it The code samples are all Java, so you better know that before even bothering to read this It may get better, but I don t have the stomach, nor the time for this.

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    19. The book was super interesting and exciting when they started it 3 years ago , but it s meh and I would say some of technologies that looked promising 3 years ago, are not doing well nowadays Anyway, I m giving it 4 stars because of the excitement I was having reading it 3 years ago.But you should definitely read critics of proposed approach radar.oreilly 2014 07 ques

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    20. Nice work on explaining the details of lambda acrchitecture in an elegant way I have come to know some of the technologies such as thrift, JCascalog and Pail while reading this book This provides me a great opportunity on investigating further about the aforementioned technologies I recommend this book to all level of audience from novice to expert in big data implementation.

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    21. Ok, the best of breed book, definitely worth its s badge bestseller , it is about Lambda Architecture topic, which is quite hot nowadays Please be preferred that reading would consume some your resources like a time and efforts, and it is good idea to have some knowledge at big data domain before starting reading this book.

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    22. I mostly agree with the other reviewers the theoretical chapters, especially the first two are well worth reading but the technology specific chapters aren t

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    23. Waited to read the final version in the end, some good take aways.

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    24. This is a book about Lambda Architecture.

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    25. I liked this book, I just felt a lack of references which could help to evolve in the context and future reads as well.

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    26. Very good to get a general overview on big data, but way too focused on specific technologies Worth reading the theory, but only breeze through the code if you are using different technologies.

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    27. The best book on the subject.

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    28. Reading the draft as it s written.

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