Capturing New Knowledge from Your Data

Developed with
Calculated Systems

Lab Steps

Signing In to the Google Cloud Console
Opening the Lab's Jupyter Notebook in Google Cloud

The hands-on lab is part of these learning paths

Ready for the real environment experience?

Time Limit1h


Databases are extraordinarily powerful in managing sets of data. This lab is aimed at students with a moderate understanding of data engineering, and Python who want to understand how to perform aggregates on data such as COUNT(), SUM(), and AVG(). We will also look into advanced statements like CASE, and functions like DATEDIFF() and CONCAT(). We will walk through the changing requirements of a bug tracking application and how to handle them.

Learning Objectives

Upon completion of this lab you will be able to:

  • Utilize SQL aggregate functions
  • Utilize complex functions
  • Learn how to get complex insights from your data

Intended Audience

This lab is intended for:

  • Data engineers
  • Anyone interested in gaining insights from data using SQL


You should possess:

  • A moderate understanding of Python
  • A basic understanding of data engineering concepts
About the Author
Learning paths33

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.