LinkedIn – Complete Guide to Data Lakes and Lakehouses 2024-8

Published on: 2024-10-02 19:01:14

Categories: 28

Description

Course Complete Guide to Data Lakes and Lakehouses. In this course, data engineer and technical writer Talia Barrera provides an introductory but comprehensive overview of data lakes. Learn key concepts such as the architecture, functionality, and integration of data lakes with existing data systems. Learn about how data lakes integrate with AI and machine learning workflows. Explore the differences between data lakes, data warehouses, and databases. Explore different data formats and their applicability in a data lake environment. Practice setting up a basic data lake and performing simple data operations using the accompanying hands-on exercises. After completing this course, you will be able to make informed decisions about implementing and managing data lakes in your organization. Skills covered in this course:

Data Lakes
Data Engineering
Artificial Intelligence

What you will learn:

An introduction to data lakes
Storage in data lakes
Data entry into data lakes
Data management and governance in data lakes
An introduction to lake houses
Data consumption and query engines in lakes and lakehouses
Advanced data platforms for lakes and ponds
Final project: building a lake house
Final project: business intelligence, advanced analytics and machine learning in Lochakhaneh
Final project: Generative artificial intelligence in Lochakhkhane

Who is this course suitable for:

People who want to gain a comprehensive understanding of data lakes and lakehouses.
Data engineers who want to improve their skills in the field of data lakes.
People looking to learn about the application of data lakes in artificial intelligence and machine learning.
Organizations that want to use data lakes to store and analyze their data.