SAM—streaming analytics made easy

Tuesday, June 19
4:50 PM - 5:30 PM
Meeting Room 230A

Streaming Analytics Manager (SAM) simplifies the development and reduces the delivery time 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, complex pattern matching, and analytical aggregations, eliminating the need for specialized skill sets. SAM also allows users to easily define the streaming engine and environments their application will use for execution and a streaming operations view to give users insight into their application’s performance during runtime.

In this talk we will cover the key features of the Streaming Analytics Manager. We will then go over the new features recently added to SAM around ease of debugging and troubleshooting, log search, event sampling, the metrics view, test simulation mode, and more.

With SAM as an analytics solution, users get a rich experience for building and managing streaming analytics applications and bringing these applications to market considerably faster.

Presentation Video

SPEAKERS

Arun Iyer
Software Engineer
Hortonworks
Have been involved with the design and development of Streaming Analytics platforms at Hortonworks for the last two and half years. Also been contributing to Apache Storm (http://storm.apache.org/) and currently a committer and a PMC member of the project. Prior to Hortonworks was involved in the development of various streaming and BigData products at Informatica and multi-tenant distributed systems at Yahoo.