| Publisher |
Shroff/O'Reilly |
| Publication Year |
2017 |
| ISBN-13 |
9789352136001 |
| ISBN-10 |
9789352136001 |
| Binding |
Paperback |
| Number of Pages |
120 Pages |
| Language |
(English) |
| Dimensions (Cms) |
24 X 18 X 1 |
| Weight (grms) |
500 |
More and more data-driven companies are looking to adopt stream processing and streaming analytics. with this concise ebook, youíll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.
Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases.
Ideal for developers and non-technical people alike, this book describes:
Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer
New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code
Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm and Apache Apex
How stream-based architectures are helpful to support microservices
Specific use cases such as fraud detection and geo-distributed data streams
Ted Dunning
Ted Dunning is Chief Applications Architect at MapR Technologies and active in the open source community._x000D_
He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projectsand as committer and PMC member of the Apache ZooKeeper and Drill projects. He developed the t-digest algorithm used to estimate extreme quantiles. T-digest has been adopted by several open source projects. He also developed the open source log-synth project described in this book._x000D_
_x000D_
Ted was the chief architect behind the MusicMatch (now Yahoo Music)and Veoh recommendation systems, built fraud-detection systems forID Analytics (LifeLock)and has issued 24 patents to date. Ted has aPhD in computing science from University of Sheffield. When he’s notdoing data science, he plays guitar and mandolin. Ted is on Twitter as@ted_dunning.
Ted Dunning
Shroff/O'Reilly