The purpose of this presentation is to review various alternative architectures, methods and tools for streaming near real-time data into the Data Vault 2.0 system of business Intelligence. In addition, using streaming processing for Data Lake provisioning will be discussed – with recommendations for fitting Data Vault 2.0 concepts with a successful data lake.
The presentation will also give attendees a good understanding of the basics required to accomplish streaming and exposure to several different development paradigms available. The focus will be in using SQL stream processing to accomplish this, and give a customer example of an approach taken.
What you will learn:
* architecture for streaming data
* raw data vault considerations of near real-time data
* business vault alternatives for streaming