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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


Why Most Data Platforms Fail (And How You Can Succeed)

The co-founders of Monte Carlo discuss the challenges -- and solutions -- to operationalizing data at scale.

Increased Frequency of Cyber Attacks Forces Companies to Develop Smarter Cyber Recovery Initiatives

Why enterprises need both disaster recovery and cyber recovery plans to protect their data.

How Replatforming to a Cloud Data Warehouse Could End Your Career

Examining three replatforming misconceptions and learning how to overcome them may save you from a resume-generating event.

How Big Data Accelerators Enable Faster, Cost-Effective Analytics

CPU speed is no longer growing fast enough to keep up with demanding workloads, highly complex computing, and astronomical data growth, but specialized processors can fill the gap.

Data Digest: Jobs in Data Science and Applications for AI and Analytics

How to get a data science job, how AI is changing healthcare research, and predictive analytics could change policing.

4 Simple Steps to Maximize Value from SaaS App Data

Find out how to make your cloud app data available for re-use in whatever apps and systems your users want.

The Future Is Bespoke: Why Data Is a Medium for Creativity in this New World

Can data be the new canvas upon which stories of innovation and exemplary adaptation will be drawn?

Q&A: Data Fabric Technologies: Stitching Together Disparate Data for Analytics

Data fabrics can incorporate a wide range of analytics capabilities, including data exploration, business intelligence, natural language processing, and machine learning. Jeff Fried from InterSystems tells us what we need to know about the technology.

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