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Graph Databases for Analytics (Part 2 of 4): Practical Applications

Is a graph database the solution to your business problem? In this article we'll explore the common characteristics of practical applications for graph databases.

The Wearable Revolution

We've been treating wearable BI as a someday-maybe thing rather than a soon and inevitable reality, but the wearable revolution is upon us.

Who Owns Your Data?

New decisions about the meaning of data ownership are urgently necessary in the context of big data and the Internet of Things.

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.

Graph Databases for Analytics (Part 1 of 4): What’s So Great about Graphs?

What makes now the right time to learn about graph databases? When the connections between data elements are as important as the elements themselves, you need a new way to handle your data.

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.

Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users

Amazon's Aurora may close the gap between spreadsheets and full-blown RDBMSs for large enterprises.

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.