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Practical Data Science


Embedding and Operationalizing Analytics for Action: Three Important Takeaways

Close to 50 percent of TDWI survey respondents said they embedded models or algorithms into business processes in some way. What can we learn from these respondents?

Q&A: Use Cases Illustrate Value of Data Lakes

Data lakes are a relatively new concept in the age of big data. In this interview, the second of two parts, Teradata’s Dan Graham and MapR’s Steve Wooledge offer up plenty of examples of how customers are using data lakes.

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.

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.

Data Warehousing: Thirty Years Old and Still Delivering Value

In an industry where technology is changing so rapidly, such longevity is rare and must point to some fundamental and unchanging truths underlying the design. What fundamental and unchanging truths does such longevity reveal?

Q&A: Tremendous Benefits Ahead in the Internet of Things

Connecting physical objects such as sensors and other devices offers great promise -- including analytics that can be performed on the collected data.

4 Key Ingredients to Cloud-Based Enterprise Performance Management that Enable Business Agility

What is EPM and what are the key ingredients of an EPM system that enable business agility?

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