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Storm Blueprints: Patterns for Distributed Realtime Computation by [Goetz,  P. Taylor, O'Neill,  Brian]
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Storm Blueprints: Patterns for Distributed Realtime Computation Kindle Edition

4.0 out of 5 stars 1 customer review

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Length: 336 pages

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Product Description

About the Author

P. Taylor Goetz

P. Taylor Goetz is an Apache Storm committer and release manager and has been involved with the usage and development of Storm since it was first released as open source in October of 2011. As an active contributor to the Storm user community, Taylor leads a number of open source projects that enable enterprises to integrate Storm into heterogeneous infrastructure. Presently, he works at Hortonworks where he leads the integration of Storm into Hortonworks Data Platform (HDP). Prior to joining Hortonworks, he worked at Health Market Science where he led the integration of Storm into HMS' next generation Master Data Management platform with technologies including Cassandra, Kafka, Elastic Search, and the Titan graph database.

Brian O'Neill

Brian O'Neill is a husband, hacker, hiker, and kayaker. He is a fisherman and father as well as big data believer, innovator, and distributed computing dreamer. He has been a technology leader for over 15 years and is recognized as an authority on big data. He has experience as an architect in a wide variety of settings, from startups to Fortune 500 companies. He believes in open source and contributes to numerous projects. He leads projects that extend Cassandra and integrate the database with indexing engines, distributed processing frameworks, and analytics engines. He won InfoWorld's Technology Leadership award in 2013. He authored the Dzone reference card on Cassandra and was selected as a Datastax Cassandra MVP in 2012 and 2013. In the past, he has contributed to expert groups within the Java Community Process (JCP) and has patents in artificial intelligence and contextbased discovery. He is proud to hold a B.S. in Computer Science from Brown University. Presently, Brian is Chief Technology Officer for Health Market Science (HMS), where he heads the development of their big data platform focused on data management and analysis for the healthcare space. The platform is powered by Storm and Cassandra and delivers realtime data management and analytics as a service.

Product details

  • Format: Kindle Edition
  • File Size: 7149 KB
  • Print Length: 336 pages
  • Publisher: Packt Publishing (26 Mar. 2014)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00JAAW130
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #286,933 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Top Customer Reviews

Format: Paperback Verified Purchase
I've just picked up my copy of this book, and so far it's looking good. I knew a little about storm before I got the book, but this looks like it will really let me get to grips with the concepts behind Storm. It starts you off gently with a WordCount example (fast becoming the HelloWorld of the distributed computing world) but rapidly builds up to more complicated topologies and configurations. Personally I'm really looking forward to getting to grips with the graph analysis chapter using Titan and Cassandra.

Other chapters intrduce Trident, Druid and using Hadoop. The only thing missing here is Spark and Shark !
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x8efa1498) out of 5 stars 7 reviews
3 of 3 people found the following review helpful
HASH(0x8dee32c4) out of 5 stars Great addition to growing collection of Storm guides 14 July 2014
By Rob - Published on Amazon.com
Format: Paperback
I had the chance to catch the authors speak at a Storm Meetup in NYC and it is clear that they know their stuff. I’ve been running a Kafka-Storm topology in production for over a year now, and I learned a number of new ways to think about it from this book.

The book is full of all kinds of interesting applications of Storm, including applications to AI, Ad-tech, and even Lambda architecture implementation. Users who are new to Storm will have little trouble picking up the material, and experienced users will enjoy the more advanced applications-- I particularly enjoyed the graph analysis with Titan chapter.
HASH(0x8dee3318) out of 5 stars Storm could be explained better 29 May 2015
By Dimitri K - Published on Amazon.com
Format: Paperback Verified Purchase
The book talks about many technologies, like Kafka, Titan etc., but very brief about Storm itself. It is good to read as introduction, but I would prefer a book about Storm with more details. The author rushes forward with very brief explanations. Trident is explained even worse.
2 of 3 people found the following review helpful
HASH(0x8e34e648) out of 5 stars An informative cookbook-style walk through the Storm ecosystem 12 July 2014
By Andrew Montalenti - Published on Amazon.com
Format: Paperback
Storm Blueprints is written by P. Taylor Goetz, a Storm comitter and release manager for Apache who currently works at HortonWorks, and Brian O’Neill, the CTO at Health Market Science (HMS), a Storm user and open source contributor.

It is a “cookbook with recipes” explanation of integrating Storm with various other technologies.

It is a whirlwind tour of integrating Storm with several other important open source technologies: Kafka combines with XMPP to create a push architecture atop streams; Cassandra and Titan are used for graph processing over Twitter data; Druid is used for analyzing financial market data; Storm and Hadoop are combined in a mini Lambda Architecture for advertising analytics. Throughout all of this, several auxiliary tools are briefly introduced, including Zookeeper, Gremlin, Puppet, Vagrant, Whirr, HDFS, storm-yarn, etc.

If this sounds like a lot of ground to cover in a single book, it is. It is powerful to see Storm combined successfully with so many other technologies, along with the sample source code to prove it. This book serves as a reminder of just how much diversity there is in the current open source ecosystem around Hadoop and Storm, and how many production-ready and not-so-production-ready design patterns there are available to an engineer working in this space.

The book serves as an impressive jog across the Storm-related Big Data terrain, and shows that, as a platform, Storm can serve an important role in integrating disparate technologies scalably and predictably.
1 of 2 people found the following review helpful
HASH(0x8dee35a0) out of 5 stars The first three chapters are great to give details on the core functionality of Storm 13 Dec. 2014
By Count Rodrigo - Published on Amazon.com
Format: Paperback Verified Purchase
The first three chapters are great to give details on the core functionality of Storm, but anything beyond that is just too specific to be of use to a larger audience. It would have been better to have more gritty details about how testing, tick tuples, auto scaling, etc.
HASH(0x8dee33d8) out of 5 stars good start for planning out a storm / lamda architecture 14 Aug. 2014
By shog - Published on Amazon.com
Format: Kindle Edition Verified Purchase
This book has a lot of "how" without a whole lot of "what". Wanting to learn about Trident, I had to go to other websites for a simple explanation of what Trident is and what it does, and then I could go to Storm Blueprints for how to use it. That said, this book is so up to date it's steaming, it calls out a nice array of recommendations for technology that you need to set up a distributed storm topology on AWS with lamda architecture. Technologies covered include Trident, Druid, Hadoop, Pig, TinkerPop, Vagrant, more. This book is good about having code examples, setup instructions and practical use cases.
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