Data Digest: Mixing Big Data and in the Cloud; Understanding Unstructured Data; Getting Value from Big Data
How to overcome 6 common challenges when implementing big data in the cloud, plus how to mind unstructured data and how to find value and overcome challenges when using big data.
- By Quint Turner
- April 22, 2016
Moving to the cloud comes with plenty of opportunity, but it also comes with a steep
learning curve. This article explores how to overcome six common challenges your
enterprise may face when trying to implement big data processing in the cloud.
Read more at The Next Web
Structured data is easy to mine efficiently, but gleaning insights from unstructured
data is often a challenge. With so many potential data sources providing
unstructured data, the ability to analyze such data is important for your
enterprise. This article introduces the basic principles for mining unstructured
data and links to more in-depth information.
Read more at icrunchdatanews.com
At the end of the day, the whole point of big data is the value the enterprise
may gain from it. This interview with an expert on data integration covers
ways to find value and overcome challenges when using big data.
Read more at Information Management
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.