Take this learning path to get the basics of everything data-related. Learn about data sources, data formats, databases, and SQL.

This learning path focuses on understanding common data formats and interfaces. It explores some common data formats that you'll encounter as a data engineer and you'll get a deep understanding of the pros and cons of storing your data in different ways. You'll also learn how data sets can be accessed and viewed differently if you were to just simply store it in a different fashion. After that, we'll move on to SQL, starting with a brief overview and history of the SQL standard. You'll then learn how to read and write data using structures created with the language SQL. 

This learning path comes complete with hands-on labs so that you can put your newly-acquired knowledge into practice, and also includes a final exam, so you can assess your understanding of the topics covered.

If you have any feedback relating to this learning path, please contact us at support@cloudacademy.com. 

Learning Objectives

• Learn about different data sources and formats, and how to model your data
• Get acquainted with the common data formats — CSV, XML, and JSON — as well as specialized data formats
• Learn about databases and how to exchange data between applications
• Recognize and explain the structured query language
• Understand how to read and write SQL commands

Intended Audience

• Aspiring data engineers
• Anyone looking to gain a practical, hands-on understanding of data modeling and for those who might want to change how they're storing their data

Prerequisites

To get the most out of this learning path, you should have a basic understanding of computing services and a high-level understanding of databases. Knowledge of what a CSV and a JSON are would also be beneficial.