Apply Data Lake Transactions & Versioning

Overview

Transform your raw data files into robust, auditable data lake tables with database-like guarantees. This Short Course was created to help data professionals accomplish reliable data lake management with transactional integrity and versioning capabilities. By completing this course, you'll be able to convert existing data files into transactional formats, execute atomic operations that ensure data integrity during concurrent jobs, query historical versions for auditing and recovery, and manage schema evolution safely—all skills you can apply immediately to your data pipelines. By the end of this course, you will be able to: - Apply transactional and versioning features to data lake tables This course is unique because it focuses on hands-on implementation of data lake reliability patterns using open-source tools, bridging the gap between raw cloud storage and enterprise-grade data management. To be successful in this course, you should have a background in basic SQL and data file formats.

Syllabus

Module 1: Apply Transactional and Versioning Features - Foundation

Learners will understand why transactional features are essential for data lake reliability, explore the fundamental concepts of ACID transactions and versioning, and learn how to convert existing Parquet tables to transactional Delta format.

Module 2: Apply Transactional and Versioning Features - Core Application & Assessment

Learners will execute atomic write and delete operations with conditions, query historical table versions for audit purposes, verify rollback capabilities through version history, and demonstrate mastery through hands-on lab work and comprehensive assessment.