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Best of TDWI’s Data Digest

Online articles that caught our eye examine team-building with data scientists and engineers, securing data to boost analytics, and data lakes and the future of data warehouses.

Building the Most Efficient Team with Data Scientists and Data Engineers
(Source: Computer World)

Data scientists need a foundation on which to do their most productive work, but not all of them can build that foundation. That is where the data engineer steps in. Hiring data engineers to make the ground-level database for the data scientists to analyze is a crucial separation of tasks. Learn how to get the best data engineers.

Finding Meaning and Purpose with Big Data
(Source: Computer World)

Some enterprises start collecting data without an end goal or purpose in mind. A lack of a motive behind data collection will not help your enterprise as much as having a resolution in mind. Adding EQ (emotional intelligence quotient) and metadata tags to your data is a great way to start working toward your goal.

How to Secure Your Most Sensitive Data and Boost Data Analytics
(Source: Tech Republic)

Only 5 percent of data collected is highly sensitive, but that 5 percent can get you in big trouble if you do not properly secure it. It can be hard for data scientists to both secure and analyze data coming in, so adopting tools such as masking and encryption for real-time data streams will make your data more secure and provide more time for your data scientists to analyze.

Semantic Data Lakes are the Future Data Warehouses
(Source: Information Management)

It is not viable to keep making data lakes that consist of purely native data; it may save money up-front but does not make it easier to find or analyze that data. Now, enterprises must start making data lakes with semantics for organization and integration or that data lake will become more inefficient than ever.

Choosing the Best In-Memory Database
(Source: Tech Target)

There are many in-memory database systems on the market right now, so it can be hard to tell which one would work best for your enterprise before buying it. This article provides a thought-out list of each major option and for what enterprises each is best suited.

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

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