August 2016
Intermediate to advanced
228 pages
4h 44m
English
Content preview from Introduction to R for Business IntelligenceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1. Extract, Transform, and Load
Business may focus on profits and sales, but business intelligence (BI) focuses on data. Activities reliant on data require the business analyst to acquire it from diverse sources. The term Extract, Transform, and Load, commonly referred to as ETL, is a deliberate process to get, manipulate, and store data to meet business or analytic needs. ETL is the starting point for many business analytic projects. Poorly executed ETL may affect a business in the form of added cost and lost time to make decisions. This chapter covers the following four key topics:
- Understanding big data in BI analytics
- Extracting data from sources
- Transforming data to fit analytic needs
- Loading data into business systems for analysis
This ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.