Most company data today is stored in data lakes, yet a significant amount is also transformed and sent to various data warehouses for business intelligence (BI) due to the inefficiencies of traditional data lakes for BI tasks. Occasionally, data is moved back from the warehouse to the data lake, and machine learning workloads increasingly interact with data warehouses. The complexity of data management, driven by the fundamental differences between data lakes and warehouses, is cumbersome.

Avoid the data management mess and enhance your process for analytics, data science, and machine learning.

The Databricks Lakehouse Platform revolutionizes the traditional approach to data by unifying disparate workloads, teams, and data types. It offers an end-to-end data management solution for every stage of the data management lifecycle.

Download the Databricks eBook to explore data management on Databricks, covering key areas such as ingestion, transformation, analytics, sharing, and governance.

In this eBook, discover how to:

• Ingest and prepare data automatically and reliably at scale for data lakes.
• Simplify your architecture and enable querying of the freshest, most complete data using SQL and BI tools.
• Centrally share and govern data within and across organizations using open-source Delta Sharing and a unified data catalog.

Unlock the full potential of your data management strategy!