Data Digest: Data Quality Challenges, Open Source Pros and Cons, Cloud Computing Definitions
Learn how to approach common data quality problems, what pros and cons you face selecting open source analytics solutions, and definitions of 20 common cloud computing terms.
- By Quint Turner
- June 20, 2016
Data quality is a challenge in every enterprise, but large amounts of data make it even more difficult. This article reviews how new tools are helping business users and IT work together to quickly validate large amounts of data.
Read more at Information Age
The first choice enterprises face when selecting analytics solutions is open source or commercial. This article explores the pros and cons to help those making this decision.
Read more at Dbta
Many modern computing solutions involve so much jargon that you might feel you are not speaking the same language. This article defines 20 of the most common cloud computing terms to aid understanding.
Read more at Kdnuggets
About the Author
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.