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TDWI Upside - Where Data Means Business

Contributor: Steve Swoyer


Stephen Swoyer is a technology writer with more than 16 years of experience. His writing has focused on business intelligence, data warehousing, and analytics for almost a decade. He’s particularly intrigued by the thorny people and process problems most BI and DW vendors almost never want to acknowledge, let alone talk about.

  


All articles by Steve Swoyer


How Mature Are Your Big Data Practices, Anyway?

With its new Big Data Maturity Model, TDWI serves up an online tool organizations can use to gauge the progress of their big data practices.

Picking the Right Platform: Big Data or Traditional Warehouse?

Big data or the data warehouse? Pick the wrong platform for the wrong workload and you could find yourself racking up hundreds of thousands (or even millions) of dollars in extra costs.

Best Practices for Big Data Management

A new TDWI report outlines a best practices approach to big data management.

Why Organizations Must Get the Small Stuff Right

Rather than worrying about new technologies, organizations should be sweating the small stuff: the bread-and-butter activities such as operational reporting or scorecards that still perplex so many enterprises.

Treasure Data: Not Your Typical Take on Hadoop or Data Warehouses

Think of SaaS newcover Treasure Data as a kind of Hadoop-as-a-service offering, albeit one with an emphasis on data warehousing workloads.

Cisco Takes "Logical Next Step" at Annual Data Management Event

Composite used to market data virtualization as "the logical next step." The conceptual vision Cisco outlined recently is both logical and bold.

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