- Real-time Analytics with Storm and Cassandra
- Shilpi Saxena
- 168字
- 2021-07-23 19:52:05
Preface
Storm, initially a project from the house of Twitter, has graduated to the league of Apache and thus rechristened from Twitter Storm. It is the brainchild of Nathan Marz that's now adopted by leagues of Cloudera's Distribution Including Apache Hadoop (CDH) and the Hortonworks Data Platform (HDP), and so on.
Apache Storm is a highly scalable, distributed, fast, and reliable real-time computing system designed to process very high velocity data. Cassandra complements the computing capability by providing lightning-fast read and writes, and this is the best combination currently available for data storage with Storm.
The combination of the Storm computing and Cassandra storage is helping technology evangelists to solve various business problems involving complex and high data volume situations such as real-time customer service, dashboards, security, sensor data analysis, data monetization, and so on.
This book will equip users with the capability to harness the processing power of Storm in combination with the speed and reliability of Cassandra to develop production-grade enterprise solutions on real-time use cases.
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