Items related to Storm Applied:Strategies for real-time event processing
Synopsis
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 setupAUDIENCE
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.
"synopsis" may belong to another edition of this title.
About the Author
Sean T. Allen, Peter Pathirana, and Matthew Jankowski are leaders on the development team at TheLadders, a high-volume, search-intensive web application. Sean is a seasoned architect with an abiding interest in distributed systems. You can follow Sean on Twitter at @SeanTAllen. Peter is a lead engineer specializing in search and recommendations platform architecture. Matthew has spent the last couple of years integrating Storm into TheLadders problem domain and continues to search for new uses for Storm in solving big data problems. You can follow Matthew on Twitter at @mattjanks16."About this title" may belong to another edition of this title.
Search results for Storm Applied:Strategies for real-time event processing
Seller Image
Storm Applied: Strategies for real-time event processing
Seller: Zoom Books East, Glendale Heights, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Seller Inventory # ZEV.1617291897.VG
Stock Image
Storm Applied:Strategies for real-time event processing
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. 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. Seller Inventory # 00101282727
Stock Image
Storm Applied:Strategies for real-time event processing
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Very Good. 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. Seller Inventory # CIN1617291897VG
Stock Image
Storm Applied: Strategies for real-time event processing
Seller: Gulf Coast Books, Cypress, TX, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: New. Seller Inventory # 1617291897-11-32498961
Stock Image
Storm Applied: Strategies for real-time event processing
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_478385185
Stock Image
Storm Applied:Strategies for real-time event processing
Seller: Sell Books, Elland, YORKS, United Kingdom
Seller rating 5 out of 5 stars
paperback. Condition: Very Good. Most of our very good books have only minor imperfections such as shelf wear consistent with a new book that's sat on a bookshop shelf for a year or two. Occasionally we may miss other minor imperfections as we have to grade books at speed. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only. Seller Inventory # L-BEQ00287-RAG-20231027-VG
Buy Used
£ 16.48
£ 12.15 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Storm Applied Format: Paperback
Seller: INDOO, Avenel, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread copy in mint condition. Seller Inventory # SS9781617291890
Stock Image
Storm Applied Format: Paperback
Seller: INDOO, Avenel, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Brand New. Seller Inventory # 9781617291890
Seller Image
Storm Applied:Strategies for real-time event processing
Published by
Manning Publications, US, 2015
ISBN 10: 1617291897
ISBN 13: 9781617291890
New
Paperback
Seller: Rarewaves USA, HEBRON, KY, U.S.A.
Seller rating 5 out of 5 stars
Paperback. 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. Seller Inventory # LU-9781617291890
Stock Image
Storm Applied: Strategies for real-time event processing
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. 275. Seller Inventory # 375023532
Buy New
£ 34.39
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available