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Real-Time Data Ingestion and Streaming Analytics with Oracle and Hortonworks

Recorded on November 24th, 2016

Many organisations are now looking to stream operational data in real-time from their transactional RDBMS systems into Hadoop big data platforms, in order to support new analytics use cases. Such data can then be combined with other data stored on the Hadoop cluster, and critical decisions made on up-to-date information, with more reliable results. Real-time data streaming into Hadoop also enables analytics while the data is ‘in-motion’, a powerful mechanism for reacting in real-time to customer actions and requests.

Hortonworks and Oracle can provide comprehensive solutions that allow organisations to respond rapidly to data events.

During this webinar we will cover:

  • How Oracle GoldenGate empowers organisations to capture,route, and deliver transactional data from Oracle and non-Oracle databases for ingestion in real-time to HDPⓇ
  • How GoldenGate complements HDF™ providing optimised delivery to Hadoop targets such as HDFS, Hive, Hbase, NoSQL, Kafka, to support customers with their real-time big data analytics initiatives.
  • How Oracle GoldenGate enables uses cases for analysis of data in motion

Attend this webinar to learn how Hortonworks and Oracle can help you with your real-time big data analytics and streaming initiatives!

Comments

Ashwini Maurya says:

Hi, I want join this webinar

Quoc-Thai Dang says:

click attend

Sai kumar says:

I want to attend

Quoc-Thai Dang says:

Click attend

Niamh Lynch says:

I’d also like to attend. Can’t see attend button just yet on mobile device.

Niamh Lynch says:

Mobile devices don’t suit this registration process. I hope that’s not reflected in bazooka solution.

Quoc says:

You’d need to view this live webinar from a computer

Amjath says:

Why I am unable to login and attend it.

Quoc says:

You need to log in with your BrightTALK account – create one here: http://www.brighttalk.com/mybrighttalk then refresh this page to view

Comments are closed.

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