Reviewing Product Inventory in a Cloud SQL Database

Developed with
Calculated Systems

Lab Steps

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

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h
Students4
Ratings
5/5
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Description

Databases are essential to organizing and understanding your data. Databases allow you to ask questions, or query your data, to find exactly what is needed. This lab is aimed at beginners who want to move beyond spreadsheets and migrate their data into a database. After completing this lab students will be able to use a MySQL Database in Google Cloud SQL, and populate it from a CSV file. Additionally, students will learn how to use basic queries against their data.

Learning Objectives

Upon completion of this lab you will be able to:

  • Learn and understand Google Cloud SQL
  • Utilizing Python to interact with a MySQL Database in Google Cloud SQL to ingest CSV data
  • Learn how to query our newly populated database

Intended Audience

This lab is intended for:

  • Individuals starting out with databases
  • Anyone interested in using Python to store and query data in a MySQL Database running in Google Cloud SQL

Prerequisites

You should possess:

  • A basic understanding of Python

About the Author

Students378
Labs14
Courses2

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.