TDWI Articles


Data Digest: Lessons from Data Breaches, History of Data Scientists, Current Data Science Paths

The lessons your enterprise should learn from recent data breaches, how data analysts became data scientists, and the skills and knowledge needed to become a data scientist today.

5 Minutes with a Data Scientist: Dean Abbott of Abbott Analytics

To provide you with interesting, current information, Upside is collecting quick perspectives from working professionals. Today, meet Dean Abbott, president of Abbott Analytics.

Data Digest: Integrating IoT Solutions, Securing Data Lakes, Testing IoT Vulnerabilities

Determine how well a new IoT solution or tool will integrate into your system, secure your data lake from the start, and check your system for vulnerable IoT devices.

Analytics Meets Decision Making: What Does Automation Mean for the Future of Data Scientists?

There are many analytics products on the market that claim you merely need to load your data and out will come actionable insights. That's almost certainly wrong.

Bit Stew: When Conventional Data Integration Can't Keep Up

Traditional data integration isn't up to integrating data from non-traditional sources. Nor can it keep pace with self-serving users. Upstart vendor Bit Stew touts an "intelligent" approach to data integration to address a range of contemporary use cases.

Teradata: Here, There, and Everywhere

For companies trying to balance the convenience of the cloud against on-premises performance advantages, Teradata Everywhere should be compelling.

Data Digest: Managing Big Data, AI in the Cloud, Cloud’s Environmental Effects

These articles explain Vs for managing big data, why AI projects are thriving in the cloud, and the environmental pros and cons of cloud computing.

How to Do Recruitment Analytics Justice: Treat It Like Sales Analytics

Use your sales analytics knowledge and skills to find and hire the best employees.

The State of Spark Adoption, Carefully Considered

The "Apache Spark Survey 2016," published last month, paints a promising picture of the Spark cluster computing platform's prospects.

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