Scala Meetup: Traceable Data Entities with Spark 2.x
One of the most common abstraction for a big data platform is a “Data Lake”. Data is brought into the lake, then it’s
filtered, parsed, transformed and in the process many more data assets are created. Metadata describes the data and
with the growing amount of data, it is becoming more and more important and harder to properly describe the data, the
schema and the data lineage.
Spark (2.x) is one of the most important tool in data engineer’s/scientist's toolbox, but currently it offers very
little help how to connect the input data sources the output data sources.
At Sqooba they decided to extend spark’s built-in event mechanism to get more granular data about when data is used as
an input or output for a spark application and that allows us to use event listeners to update the relevant entities
on Apache Atlas to get real time Data Lineage and Metadata.
Bern Scala User Group