Where change is welcome.
In part 1, you learned how to extend StreamSets Transformer in order to train Spark ML RandomForestRegressor model. In this part 2, you will learn how to create Spark MLeap bundle to serialize the trained model and save the bundle…
Apache Spark has been on the rise for the past few years and it continues to dominate the landscape when it comes to in-memory and distributed computing, real-time analysis and machine learning use cases. How can you quickly leverage the…
The emerging practice of DataOps encompasses many activities that an enterprise may execute today including ingestion, ETL, and real-time stream processing. The trick to DataOps is to execute these things in concert with global visibility, central control, and unparalleled insight…