Data teams often struggle with integration, management, and analysis because they rely on multiple disconnected tools. This creates inefficiencies and makes collaboration harder across engineers, analysts, and scientists.
Databricks solves this challenge by providing a Unified Analytics Platform that combines the power of data lakes and warehouses into a single Lakehouse. It enables teams to collaborate seamlessly, process data at scale, and build reliable pipelines for both analytics and machine learning.
In this module, you’ll:
By the end, you’ll have a solid conceptual foundation of Databricks and PySpark, preparing you for future hands-on practice.