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Big Data Streaming Analytics for Engineers
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Big Data Streaming Analytics for Engineers
1.
BIG DATA STREAMING
ANALYTICS Naunidh Singh Chadha
2.
Agenda • • • • • Overview of the
space Components Business Cases Technologies What can you do!
3.
BIG FAST FUSION I PERISHABLE
4.
DATA Data Collection PERSIST Storage and Aggregation Visualization CONTEXT Data Science/M achine Learning EXPERTISE
5.
Where is the
money !
6.
What Powers Big
Data Streaming Analytics? Platform Message Q Databases Analysis • Storm (Twitter) • Spark (Berkley) • Apache Hadoop/YAR N • Splunk • Kafka (LinkedIN) • Rabid MQ • Zero MQ • Spark Caching • HBASE • Cassandra • MongoDB • InfiniDB • Membase • Apache Drill • Apache Mahout • MATLAB •R • OpenCV • Shark • Hive Visualization • MicroStrategy • Visualization •R • D3S • JqPlot
7.
What can you
do !
Download now