New Innovations from Amazon Kinesis for Real-Time Analytics


New Innovations from Amazon Kinesis for Real-Time Analytics

Broadcast Date:
September 20, 2018

Level 200 | Service Intro
Join Kinesis Solution Architect Allan MacInnis to learn about recent innovations for Amazon Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. We will cover 3 new features, including: 1) How to get results from your data 65% faster (typically within 70 milliseconds) with KCL 2.0 and the new HTTP/2 data retrieval API while running 5x more streaming applications in parallel using enhanced fan-out; 2) How to use the Apache Parquet format conversion feature within Kinesis Data Firehose to reduce the latency of query results and to optimize your Amazon Athena and Amazon Redshift Spectrum queries; and 3) How to stream data efficiently into Splunk using Kinesis Data Firehose.

Learning Objectives:
• Learn about the new features, recently released for Amazon Kinesis
• Understand how to build a real-time analytics system with Amazon Kinesis
• Learn about optimizing your Kinesis implementation for specific use cases

Suited For: Technical/Developer, Decision Makers

Speaker(s): Allan MacInnis, Principal Solutions Architect, AWS

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