Data Management 101
December 20, 2021
Streamline the full data management life cycle.
Data management has been a critical and common practice employed across industries for many years. At its core, data management encompasses all disciplines related to managing data as a strategic and valuable resource, including collecting, processing, governing, sharing, and analyzing data—and doing it all in a cost-efficient, effective, and reliable manner.
But how do organizations truly avoid the data management mess and up-level this process to more efficiently serve downstream analytics, data science, and machine learning? Download this e-book to dive into data management on Databricks: ingestion, transformation, analytics, sharing, and governance.
In this e-book, you will learn how to:
- Automatically and reliably ingest and prepare structured and unstructured data at scale for data lakes
- Simplify your architecture and enable data scientists and analysts to query the freshest and most complete data using their SQL and BI tools of choice
- Centrally share and govern data within and across organizations using open source Delta Sharing and a unified data catalog