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Real-time Big Data

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  Real-time Big Data
Streams, Kafka, and NoSQL

 
 
THURSDAY, SEPTEMBER 22, 2016
11:00am PT / 2:00pm ET
 
 
The goal of a real-time big data architecture is to harness the power of data in motion, accelerating time-to-insight and time-to-action, and that requires a high-performance data pipeline – infrastructure to route data from multiple sources to multiple destinations, often at high throughput, and always with low latency.

In this webinar, we'll describe how to build a high-performance data pipeline using distributed messaging, stream processing, and a NoSQL database – as well as reference architectures for real-time big data and real-world use cases.

Confluent Platform, a scalable stream data platform based on Apache Kafka, is a distributed messaging system with a built-in framework for stream processing – it's the plumbing. Couchbase Server, a NoSQL database with a SQL-based query language, is a distributed database with a streaming replication protocol – it's the faucet, and the sink.

In this webinar, you'll learn how to:
  • Build data pipelines for real-time big data
  • Utilize distributed messaging with Apache Kafka
  • Perform stream processing with Kafka Streams
  • Utilize a NoSQL database with Couchbase Server
  • Integrate Couchbase Server with Confluent Platform

couchbase logoRegister today to learn about Real-time Big Data.

Audio is streamed over the Internet, so turn up your computer speakers!
 
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PRESENTERS
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David Tucker
Director of Partner Engineering
Confluent
 
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Shane K Johnson
Senior Manager of Product Marketing
Couchbase
 
MODERATOR
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Stephen Faig
Business Development Manager
Unisphere Research and DBTA
 
 

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