Streaming Architecture: New Designs Using Apache Kafka and MapR Streams
By: Titu Andreescu | Publisher: Shroff/O'Reilly | Year: 2017
ISBN: 9789352136001
MRP: Rs. 400.00
You Pay: Rs. 360.00
You save: Rs. 40.00 ( 10% )
Usually ships in 7-15 days
Reward points: 3 points
⚠️ Ships only in Bangladesh, Bhutan, India, Maldives, Nepal, Sri Lanka, and the United Republic of Tanzania.
Description
More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, youll 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