Published on: 2024-08-29 21:52:40
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Associate Data Engineer in SQL, In this track, you’ll learn the fundamental concepts of data engineering, including the Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT) workflows. You’ll discover how to interact with relational databases such as PostgreSQL to store, modify, and query data. Moving through the track, you’ll pick up techniques for querying structured data using SQL, including joining multiple tables, calculating aggregated statistics, filtering, grouping, and writing subqueries. Switching gears, you’ll go on to discover database design principles such as star and snowflake schemas, and normalization. You’ll use this knowledge to perform typical data engineering tasks such as creating, altering, and deleting tables, and enforcing data consistency by casting data to different data types. The track also shows how you can download PostgreSQL to your operating system, along with setting up and modifying users. Conclude by learning about data warehouse technologies and familiarizing with Snowflake, a popular cloud technology for data engineering!
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Subtitle : English
Quality: 720p
Data Warehousing Concepts
Database Design
Intermediate SQL
Introduction to Relational Databases in SQL
Introduction to Snowflake
Introduction to SQL
Joining Data in SQL
Understanding Data Engineering
Understanding Data Visualization
634 MB
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