TDWI Articles

Data Digest: Prevent Insider Threats, Big Data in Retail, Secure Cloud Data

Today learn how to prevent damage from insider threats, what advantages big data holds for retail, and best practices for securing information in the cloud.

What Makes a Data Scientist Tick?

Data scientist Denny Lee shares three must-have skills for data scientists and argues that being asked to do the impossible brings out the best in an analyst.

Governed Data Discovery: Blending Self-Service and Standards

What happens when business units cut their tether to the IT department? In the short run, business users are ecstatic, but without governance strategy, mismanaged self-service can undermine data consistency.

Data Digest: Avoid Ransomware, Understand Cyber Attacks, Improve Machine Learning Recommendations

Learn how to protect your enterprise from ransomware, the top things you need to know about cybersecurity today, and how to optimize the sales targeting of machine learning recommendations.

Data Stories: Improve Data Visualization with Good Design

To create a good visualization, you must consider the purpose, the data, and the audience, and it helps to know a few fundamental design principles. These three articles will help you improve your visualization skills by exploring those principles.

Graph Databases for Analytics (Part 3 of 4): The Basics of Graph Structure and Analytics

If you have an application for graph databases, what does the graph structure actually look like? We go further in-depth into the parts of a graph database and the purposes of common graph analytics.

Data Digest: Big Data Storage, Data Management Tips, Working with Data Scientists

In today’s articles, learn how to choose a storage solution for a big data or IoT project, how to update your data management protocols, and how to build a positive working relationship with a new data scientist.

Data Digest: Data Mining Use Cases, Stopping Ransomware Attacks, Avoiding Big Data Problems

Today learn why it’s important to define a problem clearly before data mining, how to protect yourself from ransomware, and what problems to watch out for in big data initiatives.

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