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Apply Data Lake Transactions & Versioning

This course is part of multiple programs.

Instructor: Hurix Digital

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Transactional storage layers ensure data lake reliability, supporting concurrent operations and maintaining integrity.
Version control in data lakes enables auditing, compliance, time-travel queries, and error recovery for production systems.
Schema evolution strategies help data systems adapt to business changes while maintaining backward compatibility.
Converting raw files to transactional formats is a key pattern supporting both analytics and operational reliability.

Skills you'll gain

Tools you'll learn

Data Lakes

Details to know

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Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

Module details

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.

What's included

2 videos1 reading2 assignments

2 videosTotal 12 minutes

Understanding ACID Transactions and Versioning in Data Lakes8 minutes
Converting Parquet Tables to Delta Format5 minutes

1 readingTotal 10 minutes

Delta Lake Architecture and Transaction Log Mechanics10 minutes

2 assignmentsTotal 33 minutes

Implementing Transactional and Versioning Features in Data Lake Tables30 minutes
Transactional and Versioning Features Knowledge Check3 minutes

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.