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Streaming Analytics Manager (SAM) Part 2

Date
08 February 2018
Time
11:00 AM PT
Duration
1:30 hr

Streaming Analytics Manager (SAM) simplifies the development, deployment, monitoring and debugging of analytic applications geared towards data in motion. Using a drag-and-drop interface, application developers can create complex streaming analytics apps for event correlation, context enrichment and complex pattern matching; eliminating the need for specialized skill sets.

In this session we will cover the high-level architecture of SAM and focus on the new features that were added in the HDF 3.1 release. We will build a streaming analytics application using the drag and drop approach and once the app is built, will see how the logic can be easily tested by switching to SAM’s “Test mode”. We will then deploy the application and explore how SAM’s “view mode” provides powerful metrics, monitoring, log search and event sampling capabilities that can aid the debugging and troubleshooting.

If you missed Part 1, watch it here (“password” is the password).

Note: The recorded webinar will be available afterwards.

SPEAKERS
Arun Iyer
Principal Software Engineer and Tech Lead for Streaming Analytics Manager

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