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


InsightOps for Advanced Analytics and Data Science

DevOps addresses the challenge of engineering, deploying, and maintaining software for production use. IBM says we need something similar for advanced analytics and data science.

Microsoft Improves Power BI’s Usefulness as Advanced Analysis Platform

Slowly but surely, Microsoft is making Power BI into an extremely useful platform for advanced analysis. New improvements promise to make analysts even more productive.

Amazon Dominating in the Cloud

Amazon is one of a "Gang of Four" -- the others are Microsoft, IBM, and Google -- that control the cloud hosting market. Amazon and AWS have more than twice the share of runner-up Microsoft.

Teradata Takes Aster to Hadoop, AWS, Accelerates Analytics for IoT

This week, Teradata announced four new Analytics Accelerators for IoT and made good on a promise to port its Aster discovery platform to Hadoop -- and to Amazon's AWS.

Is Collaboration the Critical Success Factor for Data Science?

The members of a data science team need to collaborate with one another in real time, and data science start-up Dataiku claims to have the best tool for the job.

Debunking the Data Scientist Mythology

Data science is a team effort that depends on vital contributions from data engineers, data architects, business analysts, and business subject matter experts.

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