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TDWI Upside - Where Data Means Business

Big Data


Without Context, Big Data is Flat Data

It's not enough to know what your customers are doing. You need context to understand why customers do what they do.

The Big Data Pendulum Swings from Centralized to Distributed Workloads

As businesses try to improve how they leverage data and increase their competitive agility, a converged data platform will be key to their success.

Advanced Analytics: Believe the Hype

By 2018, Gartner projects that advanced analytics will underpin the competitive efforts of more than half of all large organizations.

AlphaGo, Artificial Intelligence, and a Machine-Learning Renaissance

A recent AlphaGo victory is being touted as a Big Win for artificial intelligence (AI). It's a no less important win for machine learning, which might be in the midst of a renaissance.

Data Warehousing: Ingenuity, Labor, and Obsolete Practices

Proponents of data warehouse automation say the way we design, build, and manage data warehouse systems is obsolete. They say ingenuity, not labor, is the most important contribution human beings can make to the design, development, and optimization of the warehouse.

Putting Big Data to Work for Railroad Safety

Canadian National Railway puts big data to work keeping its system safe.

Data Digest: Big Data Requirements, Big Data Project Success, and Fighting Cyberattacks wtih Threat Intelligence

Use open source and open architecture to get the most out of big data, plus why big data projects are increasingly successful but sill not reaching their full potential. Also: preventing cyberattacks.

Data Digest: Endless Possibilities in Big Data, Big Data Evolution, and 5 Steps for Cybersecurity

How to address problems enterprises face in adopting big data, plus the rise of real-time analytics and a five-step strategy for staying cybersecure.

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