Embark on a journey to proficiently manage big data using Delta Lake within the Microsoft Fabric ecosystem. Through this course, this course explores how Delta Lake integrates the flexibility of data lakes with the performance of data warehouses through the innovative lakehouse architecture. You’ll learn to address big data challenges—volume, velocity, variety, and veracity—by leveraging the features like transaction logs, ACID compliance, and time travel for accessing historical data versions. Through practical modules, discover multiple methods to create and integrate Delta tables, dynamically evolve schemas without rewriting entire tables, and optimize data management with partitioning, vacuuming, and performance tuning techniques. Understand the nuances between “overwrite” and “append” modes for data ingestion, and how to maintain data integrity and efficiency. By course end, you’ll be equipped to leverage Delta Lake in Microsoft Fabric to build robust, scalable, and efficient data engineering solutions.
Overview
COURSE DIFFICULTY
COURSE DURATION
4h 6m
Skills Learned
After completing this online training course, students will be able to:
Load and query data in Snowflake data warehouse
Optimize query performance using Snowflake features
Transform and analyze data to generate insights
Technical Professionals
None
01. What You Need to Get Started
02. Introduction
03. About Snowflake
04. Free Trial
05. Class Wrap Up
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Load and query data in Snowflake data warehouse
Optimize query performance using Snowflake features
Transform and analyze data to generate insights
WHO SHOULD ATTEND
Technical Professionals
PREREQUISITES
None
COURSE OUTLINE
01. What You Need to Get Started
02. Introduction
03. About Snowflake
04. Free Trial
05. Class Wrap Up
