One of the key business challenges facing data professionals across all industries today is to ensure that all people within the organization are working from the same data sets. The issue is more complex than just keeping a record of the schemas at the data sources and data destinations and keeping them in sync.
With some data lakes ingesting thousands of different files and tables onto their data lake
each week, and running thousands of different pipelines from multiple departments, the
only way to guarantee consistency is to automate the process.
This datasheet explores how BDM schema evolution propagate all schema changes that occur at source, as they happen to the corresponding data store in your Data Lake.
Click here to learn more.