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TDWI Upside - Where Data Means Business

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.

Data Digest: Data Whisperers, Big Data Missteps, Data Quality versus Quantity

Today learn what a data “whisperer” is, the top 4 mistakes managers make in data projects, and how to balance quantity and quality in your data collection.

IoT Provides Competitive Edge in Speedboat Racing

Do you think of IoT as mostly collecting consumer data? This case study is a great example of IoT technology being used to gain a literal competitive advantage.

Putting the Data Revolution in Perspective

Advances in analytics and data management have practical effects on the world around us. These improvements are driving innovation in fast-changing industries such as healthcare and agriculture.

How AI Helps Enterprises Avoid Insider Threats and Compromised Credentials

Stolen credentials pose a serious threat to your database security. New approaches involving machine learning and behavioral analysis might hold the solution.

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