RESEARCH & RESOURCES

Best of TDWI's Data Digest

Online articles that caught our eye focus on finding data scientists, maximizing the benefits of unstructured data, news as a free data sources, and guarding data.

Finding the Perfect Data Scientist
(Source: The Next Web)

As more enterprises become data-driven, more data scientists are needed to guide them toward the future. Finding the best data scientist for your specific niche can be hard to do. This article offers several tricks for finding the right person for the job.

Prevent Breaches in the Cloud with these 6 Tips
(Source: CIO)

Keeping data safe in the cloud sometimes seems impossible given all the reports of breaches in the news. However, that doesn't mean it is impossible. Follow these simple pointers to keep your data safe in the cloud.

Using News as Free Data
(Source: Datanami)

On the Internet, there is an incredible wealth of information published every day in the form of news reports and blog posts. Some enterprises have noticed that and are starting to use these published pieces as data to collect and analyze for their own purposes. If properly used, this data can supplement the main data your enterprise collects.

Making the Most out of Unstructured Data
(Source: Cloud Tweaks)

Understanding your unstructured data -- data that cannot be easily processed by computers -- may be the key to getting a leg up on your competition. There's plenty of potential hidden within customer responses that need to be gleaned through text and sentiment analysis, and it is up to the CIO to initiate that process.

IT Might Be Preventing Cloud BI from Reaching its Full Potential
(Source: Tech Republic)

As more enterprises move into the cloud with their workloads, so, too, does their data. Because of this, most enterprises are attempting to perform analytics in the cloud with cloud BI software. However, IT workers who originally did the analytics may find themselves out of jobs and have begun resisting this shift.

Graphing the Semantic Data Lake
(Source: Datanami)

Data lakes can be efficient when storing structured data, but analyzing that data can be incredibly difficult. Jans Aasman, CEO of Franz, has created a "semantic" data lake through graphing the data lake into a more understandable format. With this, the scalability and storage space of data lakes can be used to their full potential.

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.

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