One of the most common challenges organizations face with their data lakes is the inability to find, understand, and trust the data they need for deriving business value or gaining a competitive edge. Organizations are putting all of their enterprise data in a data lake over object storage like S3. In no time however, the data lake becomes swampy and unusable due redundant data copies. This increases organizational costs implicitly, since searching and indexing the data becomes difficult.
At R Systems, we’ve built an efficient process for data lake catalog using Amazon S3, Amazon Dynamo DB, AWS Lambda (server-less computing) and Amazon Elastic Search.
Our speakers will discuss & demonstrate the best practices for: