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2020-02-27 | Getting Data Ready for Data Science with Delta Lake and MLflow

Getting Data Ready for Data Science with Delta Lake

2020-02-27 | Watch the video | This folder contains the presentation and sample notebooks

One must take a holistic view of the entire data analytics realm when it comes to planning for data science initiatives. Data engineering is a key enabler of data science helping furnish reliable, quality data in a timely fashion. Delta Lake, an open-source storage layer that brings reliability to data lakes can help take your data reliability to the next level.

In this session you will learn about:

  • The data science lifecycle
  • The importance of data engineering to successful data science
  • Key tenets of modern data engineering
  • How Delta Lake can help make reliable data ready for analytics
  • The ease of adopting Delta Lake for powering your data lake
  • How to incorporate Delta Lake within your data infrastructure to enable Data Science