Best of Upside's Data Digest
Articles explore how to solve ongoing data lake problems, align to new IoT services models, build data quality teams, get value from big data projects, and choose your cloud model.
- By Quint Turner
- December 13, 2016
Solve Ongoing Data Lake Problems
(Source: Information Management)
The data lake has yet to reach full maturity, but there are plenty of opportunities to improve your implementation today.
Aligning to New IoT Services Model
(Source: IT Pro Portal)
As consumers move towards paying for access rather than owning products, you should adjust your enterprise's strategy to accommodate. IoT can be a big part of success in the new economy.
Choose Your Cloud Model
(Source: Business 2 Community)
Moving to the cloud is a high priority for many, yet following through can seem difficult. Understanding your options will make the move less abstract.
Building Data Quality Teams
(Source: Dataversity)
Fixing problems with data quality isn't just a matter of how -- it's a matter of who. Putting the right people in place goes a long way toward improving data quality.
Value from Big Data Projects
(Source: Forbes)
Done well, big data projects can have enormous benefits, but what can you do to ensure that your project is a success?
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.