Real-time analytics with HBase
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The document discusses real-time analytics using HBase, highlighting its role as a column-oriented database for high-volume data processing at 10,000 transactions per second. It covers key features such as authentication, integration gateway, and the use of coprocessors for managing metrics and events. The presentation concludes with an emphasis on the importance of real-time information in monitoring and analytics.
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![HBase schema
● NТAttribute (name,’a’:value,id)
● NТMetric (name,’m’:[type][attributes],id)
● TEvent ([TID][CID],’e’:[metrics],timestamp)
● TMetric
([MID][rounded TS],’m’:type,agg value)
([MID][rounded TS],
’m’:[type][TID][CIS],value)](https://image.slidesharecdn.com/rthbase-160119191216/85/Real-time-analytics-with-HBase-8-320.jpg)
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Real-time analytics with HBase
- 1. Real Time Analytics with HBase Ivo Mitov datafusion.eu 2016
- 2. Introduction ● Integration gateway ● Authentication, authorization, throttling, routing, transformation and orchestration ● Multiple partners ● Multiple backends ● High-volume data - 10 000 TPS
- 3. Monitoring and analytics ● Nagios ● Oracle ● Hadoop cluster ● MapReduce jobs ● Lack of real time information: partner invocations error rate latency
- 4. HBase BigTable - sparse, distributed, persistent multidimensional, sorted map Column-oriented DBMS on top of HDFS Row key, column family, column qualifier, version, value
- 5. HBase
- 7. HBase client Attribute descriptor Metric definition filter expression Channel adapter Nomenclature manager HBase gateway
- 8. HBase schema ● NТAttribute (name,’a’:value,id) ● NТMetric (name,’m’:[type][attributes],id) ● TEvent ([TID][CID],’e’:[metrics],timestamp) ● TMetric ([MID][rounded TS],’m’:type,agg value) ([MID][rounded TS], ’m’:[type][TID][CIS],value)