Relational database management systems (RDBMSes) and data lakes are very different technologies from different eras. But so what? They both store data that needs to be analyzed, often using the same tools. Moreover, the data stored in these different types of repositories may well need to be correlated and blended; or perhaps data in one can be enriched with data in the other. What can be done to match and merge data from RDBMS and data lake platforms (like Hadoop and Spark), especially when several vendors out there offer both? This demo heavy session will show how to get the RDBMS and data lake worlds in sync and how bringing data from both repositories together pays off in analysis, insights, and digital transformation.
You will learn:
- About the past and future of Databases
- About Data Lakes and their value
- About scenarios and use-cases for working together