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Data Analytics & Visualization All-in-One For Dummies
book

Data Analytics & Visualization All-in-One For Dummies

by Jack A. Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Lillian Pierson, Jonathan Reichental, Joseph Schmuller, Alan R. Simon, Allen G. Taylor
April 2024
Beginner content levelBeginner
832 pages
20h 32m
English
For Dummies
Content preview from Data Analytics & Visualization All-in-One For Dummies

Chapter 4

Tweaking Data for Primetime

IN THIS CHAPTER

Bullet Understanding the data lifecycle

Bullet Addressing inconsistencies with data types, values, keys, structures, and queries

Bullet Streamlining data based on queries and naming conventions before data loading

For any data cleansing and transformation to take place, your organization needs analysts and engineers — and detectives. The idea here is that you must first analyze the data before entering the system or after it exists in its intended data store. Simply glossing over the data alone doesn't cut it. You need to follow a rigorous process as you look for those needles in your data haystack. Without a rigorous process, you can't ensure data consistency across all columns, values, and keys. By following a meticulous analysis process, you can engineer optimized queries that help load the data into the system without issues. This chapter helps you develop that process by evaluating the whole lifecycle and the supporting activities the Power BI professional must undertake in order to make their data shine for visualization consumption.

Stepping through the Data Lifecycle

Data is seldom perfect. Unless you’re connecting to a prepared dataset ...

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Publisher Resources

ISBN: 9781394244096Purchase Link