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IoT: Game Changer for Data Science

Growth in IoT will put pressure on organizations to step up their data science so they can develop and deploy analytics that tap the new data streams.

Q&A: Understanding Data Lakes

Experts from Teradata and MapR discuss what data lakes are and how you can benefit.

What Motivates Data Warehouse Environment Modernization?

What criteria can you use to determine when it’s time to renovate your environment and assess candidate technologies to integrate within the enterprise? Start by asking questions from three critical perspectives.

Data Digest: Data Security Needs Resilience, Cloud Security, and IoT's Rise

A new approach to data security maps out priorities, plus keeping the cloud safe and what's behind IoT's rise.

Has Your Data Plateau Eroded?

Take being a change agent on as your duty as a data professional, sitting on the "gold" of the organization -- data. To get you started, here are six ROI-producing (and fun) data technologies to deploy now.

The Biggest Questions in Analytics: Q&A with Jill Dyché

What's the best way to take analytics to your entire enterprise? We offer an expert's advice about scaling your analytics.

The First Step Is the Hardest: The Path to Advanced Analytics

There's a lot of buzz about advanced analytics. To go beyond the hype and benefit from its potential, managers and practitioners alike need to retool their thinking.

Data Digest: Imperfect Open Source, Security Worries of 2016, and Mining for Data Gold

Waknesses of open source, plus top five cybersecurity concerns this year and data mining for startups.

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