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 firstname.lastname@example.org.
- 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
- 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
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.
Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity. With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.