Manage data with Delta Lake
|
Delta Lake is a data management solution in Azure Databricks providing features including ACID transactions, schema enforcement, and time travel ensuring data consistency, integrity, and versioning capabilities.
What Delta Lake is, How to manage ACID transactions using Delta Lake, How to use schema versioning and time travel in Delta Lake, How to maintain data integrity with Delta Lake
Prerequisites
Before starting this module, you should know how to use Apache Spark in Azure Databricks. Consider completing the Use Apache Spark in Azure Databricks module before this one.
User Reviews
Be the first to review “Manage data with Delta Lake”
Related Products
Data Analyst
Learn the skills to analyze, interpret, and present data for informed business decisions.
Intro to Data Analysis
Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Statistics for Data Analysis
Learn statistical methods and techniques for analyzing and interpreting data.
Visualize Data with Python
Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
Business Intelligence Data Analyst
BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.
There are no reviews yet.