Episode
ETL 2.0: Data Engineering using Azure Databricks and Apache Spark
with Richard Garris
Applications are starting to make use of analytics to provide personalization and recommendations. In this session, we cover things like an introduction to data science, end-to-end MLlib Pipelines in Apache Spark, and code examples in Scala and Python.
Create a Free Account (Azure): https://aka.ms/azft-databricks
Applications are starting to make use of analytics to provide personalization and recommendations. In this session, we cover things like an introduction to data science, end-to-end MLlib Pipelines in Apache Spark, and code examples in Scala and Python.
Create a Free Account (Azure): https://aka.ms/azft-databricks
Video URL
HTML iframe
Have feedback? Submit an issue here.