Published by Manning Publications Co. LLC, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
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Published by Manning Publications Co. LLC, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
First Edition
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Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
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Add to basketPaperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.15.
Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.15.
Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.15.
Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: SecondSale, Montgomery, IL, U.S.A.
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Published by Manning Publications, US, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
£ 43.85
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Add to basketPaperback. Condition: New. It's a lot harder to make sense out of data when it's coming at full speed. Apache Storm's efficient stream processing capabilities are relied upon by giants like Twitter and Yahoo for swiftly extracting intelligence from their Big Data streams. Fault tolerant guarantees of Storm make it an invaluable and versatile platform in the Big Data landscape. It integrates seamlessly with battle-tested message queuing systems (like Kafka) and NoSQL databases (like Cassandra). Storm is built to run on the JVM but provides straightforward extensions for working with non-JVM languages like Ruby and Python. Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. The book starts by building a solid foundation of the Storm essentials. Then, it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm: the knowledge needed to scale a high throughput stream processor and ensure smooth operation within a production cluster. It moves on to teach readers how to use Trident to treat streams as batches for solving a different class of problems, and covers the tools available within the Storm open source community that are crucial for any seasoned Storm developer. ? RETAIL SELLING POINTS Immediately useful practical guide Applies Storm to real-world use cases Takes Storm from development to a fully tuned and optimized production setup AUDIENCE While prior experience with Storm is not necessary, acquaintance with related Big Data problem solving is helpful. Basic understanding of Java or similar JVM language and concurrency is assumed. DESCRIBE THE TECHNOLOGY Storm is a tool that can be used for processing "big data" in real-time. Think performing real-time analysis of all the tweets going through Twitter.
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Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Add to basketCondition: New. Num Pages: 280 pages. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 189 x 235 x 19. Weight in Grams: 486. . 2015. 1st Edition. Paperback. . . . .
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Published by Manning Publications, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Add to basketCondition: New. Num Pages: 280 pages. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 189 x 235 x 19. Weight in Grams: 486. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Published by Manning Publications|Manning, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: moluna, Greven, Germany
£ 57.22
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Add to basketCondition: New. SummaryStorm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. This immediately useful book starts by building a solid foundation of Storm essen.
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Add to basketpaperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Published by Manning Publications, US, 2015
ISBN 10: 1617291897 ISBN 13: 9781617291890
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
£ 43.90
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Add to basketPaperback. Condition: New. It's a lot harder to make sense out of data when it's coming at full speed. Apache Storm's efficient stream processing capabilities are relied upon by giants like Twitter and Yahoo for swiftly extracting intelligence from their Big Data streams. Fault tolerant guarantees of Storm make it an invaluable and versatile platform in the Big Data landscape. It integrates seamlessly with battle-tested message queuing systems (like Kafka) and NoSQL databases (like Cassandra). Storm is built to run on the JVM but provides straightforward extensions for working with non-JVM languages like Ruby and Python. Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. The book starts by building a solid foundation of the Storm essentials. Then, it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm: the knowledge needed to scale a high throughput stream processor and ensure smooth operation within a production cluster. It moves on to teach readers how to use Trident to treat streams as batches for solving a different class of problems, and covers the tools available within the Storm open source community that are crucial for any seasoned Storm developer. ? RETAIL SELLING POINTS Immediately useful practical guide Applies Storm to real-world use cases Takes Storm from development to a fully tuned and optimized production setup AUDIENCE While prior experience with Storm is not necessary, acquaintance with related Big Data problem solving is helpful. Basic understanding of Java or similar JVM language and concurrency is assumed. DESCRIBE THE TECHNOLOGY Storm is a tool that can be used for processing "big data" in real-time. Think performing real-time analysis of all the tweets going through Twitter.