Delta Lake with Azure Databricks: Deep Dive

Unlock the Power of Lakehouse Architecture with Delta Lake & Azure Databricks

Discover how to build a robust and scalable Lakehouse architecture using Delta Lake and Azure Databricks. This comprehensive course provides a deep dive into Delta Lake, an open-source storage layer revolutionizing Data Lakes by adding data warehouse-like features.

What you'll learn:

• Understanding Delta Lake: Learn the fundamentals of Delta Lake and how it enhances the reliability of your Data Lake.
• Delta Lake Ecosystem: Explore the extensive ecosystem surrounding Delta Lake, including key components like Delta Lake Storage, Delta Engine, Delta Architecture, Delta Live Tables, and Delta Sharing.
• Batch & Streaming Data Handling: Master how Delta Lake seamlessly handles both batch data and streaming data for unified data processing.
• Delta Lake Storage Features: Discover and utilize the various features of Delta Lake storage to optimize data management.
• Real-time Data Processing: Learn to efficiently process streaming data with Delta Lake.
• Query Optimization with Delta Engine: Explore Delta Engine in Azure Databricks to significantly optimize storage and query performance.
• Building a Lakehouse: Gain practical experience in constructing a complete Lakehouse architecture with Delta Lake.
• Reliable ETL Pipelines: Develop robust and dependable ETL pipelines using Delta Live Tables.
• Practical Use Cases: Examine common use cases for Delta Lake and learn how to implement them effectively.

By the end of this course, you'll possess the skills to leverage Delta Lake's ecosystem to create an optimized and well-integrated Lakehouse solution for your data needs. This course is ideal for data engineers, data architects, and anyone looking to build a modern data platform.