DataStax Enterprise: Making a Difference with Smart Analytics

1 DataStax Enterprise Platform Overview

2 Why DSE Analytics?

3 DSE Analytics Portfolio

4 Spark / C* to nail Operational Analytics

5 Use Cases

6 Conclusion 2 © 2015. All Rights Reserved.

DataStax Enterprise - Platform Overview

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Why DSE Analytics?

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OLTP OLAP

2000's

Why DSE Analytics?

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OLTP OLAP

Web, Mobile, IoT

DataStax Enterprise Analytics Portfolio

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Streaming NRT Analytics Warehousing

DSE Analytics: Spark + Cassandra

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Spark Core Engine

Spark SQL

Spark Streaming

MLlib

GraphX

Spark R

Cassandra / DataStax Enterprise

DataStax Spark-Cassandra Connector

Operational Analytics: Spark and Cassandra

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Stream Processing

Reliable Data ingestion

Low Latency Lookups & Search

Data @ Rest Analytics

Ecosystem Integration

ODBC JDBC

BYOH

DataStax Enterprise Analytics

DSE Analytics Use Cases

•  Internet of Things –  Cassandra can ingest all the events –  Spark / Search to analyze –  Spark Streaming for “standing queries” and rollups

–  Example: •  Fraud

–  Bring together batch and real-time analytics for ensemble learning to detect sophisticated fraud quickly

–  Post trade surveillance for risk and regulatory compliance

–  Example:

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Conclusion

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•  Foundational block for Web, Mobile, IoT

•  Operational backbone (not a data warehouse)

•  Backing of DataStax Enterprise Platform

Thank you