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Tuesday, March 20 • 2:30pm - 3:20pm
Move Data between Apache Hadoop and Oracle Database for Customer 360 Analytics
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Customer 360 degree views require data from a variety of streaming sources to be integrated with data stored in Big Data systems and databases. Machine learning and analytics applications need access to mobile device feeds, online community logs, social media feeds, and much more, along with business critical data stored in the database. Tools for data movement between streaming data sources, Big Data platforms and Oracle Databases are essential. In this session, learn about tools that move data between these systems, using technology such as Hive storage handlers for Kafka, direct path load, SQL, and custom Hive SerDes. We will step through using these tools to work with Streaming data (Kafka), Big Data, and Database services in Oracle Cloud Infrastructure.
Speakers
avatar for Melliyal Annamalai

Melliyal Annamalai

Product Manager, Oracle
I work with technologies to connect Apache Hadoop and Oracle Database. We have exciting offerings on Cloud platforms, and with streaming technologies such as Apache Kafka.

Tuesday March 20, 2018 2:30pm - 3:20pm
4-Rm 104
  Big Data

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