| THURSDAY, MARCH 3, 2016 |
| 11:00am PT / 2:00pm ET |
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In this webinar, you'll learn how to create real-time big data architectures that combine NoSQL for operational data access, Spark for streaming analytics, Kafka for distributed messaging, and Hadoop for offline processing. We'll look at sample data flows, technical integration points, and practical examples of real-world implementations.
You will learn:
- How to stream operational data to Spark for continuous analysis
- How to leverage message queues to create complex data flows
- How to improve operational data with offline processing
 Register today to learn about Real-time Big Data.
Audio is streamed over the Internet, so turn up your computer speakers!
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| PRESENTER |
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Shane K Johnson
Senior Manager of Product Marketing
Couchbase |
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| MODERATOR |
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Stephen Faig
Business Development Manager
Unisphere Research and DBTA |
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