Data Digest: Analytics for Data Storage, Structure for Data Scientists, Build Scalable Applications
These articles explain analytics that work across multiple storage solutions, how to structure a department to best support data scientists, and what to focus on when building scalable applications.
- By Quint Turner
- August 24, 2016
This article presents an argument for analytics solutions that are "heterogeneous" -- i.e., solutions that can function across multiple data storage solutions and analyze the use of storage.
Read more at Information Age
Data scientists are being misunderstood in many enterprises; this article explains how to restructure your data department for better data scientist performance.
Read more at Kdnuggets
In this article, read about 5 practical focus areas for building a scalable application with high availability.
Read more at O'Reilly Media
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.