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Why Does My Business Need to Transform Data?

Blog post from Fivetran

Post Details
Company
Date Published
Author
Dayna Shoemaker
Word Count
903
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

Data transformations are crucial in connecting and making the most of collected data. They help businesses produce data models to answer critical decisions by joining, filtering, and aggregating data. Common use cases include reporting, BI, visualizations, dealing with big data, advanced analytics, machine learning, and artificial intelligence. Some data needs to be transformed regardless of use case, such as global data, removing personal identifying information (PII), and cleaning dirty data. Modern transformation methods are increasingly important in the world of cloud computing and data complexity. A modern ELT approach like Fivetran Transformations ensures that data is modeled for analytics to maximize its impact across businesses.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 2 247 55 22 +18%
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