Monday, 16 April 2018

Best Practices for Transitioning from Batch to Real-Time Analytics

Learn how your organization can leverage real-time, streaming analytics to capitalize on time-sensitive opportunities, meet customer demands, and reduce operational risks. Learn More >>

The number of sources generating continuous, streaming data has exploded in recent years. From website clickstream data to telemetry data from Internet of Things (IoT) devices, the variety, volume, and velocity of data continues to increase. In response, businesses are evolving their analytics approach from batch to real-time, and turning to new tools to deliver actionable insights in seconds instead of hours or days. With AWS, you can easily and cost-effectively collect, process, and analyze real-time, streaming data at any scale, so you can learn what your applications and customers are doing right now - and respond immediately.

In this webinar, you'll learn about AWS real-time analytic solutions, including Amazon Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. You'll also hear about real-time solutions from APN Partners, Databricks, MemSQL, and Zoomdata that complement or integrate with Amazon Kinesis services.

Join us to:
• Learn how your organization can leverage real-time, streaming analytics to capitalize on time-sensitive opportunities, meet customer demands, and reduce operational risks
• Understand best practices for tackling the architectural and business challenges of transitioning from batch to real-time analytics
• Hear how real-time analytics have already benefited AWS customers, Viacom and Infiswift.
• Find out how to get started with Amazon Kinesis and APN Partner solutions from Databricks, MemSQL, and Zoomdata.

When: Apr. 19, 2018 | 10 am PST/1 pm EST

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