Data warehouse automation is more than simply automation of ETL development. It automates the entire data warehousing life cycle from planning, analysis, and design through development and extending into operations, maintenance, and change management. Dave Wells explains the benefits of the technology.
Users can explore and analyze even massive data sets quickly with new tools and platforms now available.
- By Linda L. Briggs
- April 15, 2014
From a business perspective, big data it is about competing on analytics and making the entire organization more data driven. We explore two key points organizations seeking to become more data-driven should address.
- By David Stodder
- April 15, 2014
Welcome failure as a source of feedback that leads to success.
If you want to understand data integration in an age of analytic heterogeneity, you must follow the process: process movement, not data or workload movement, is where it's at.
- By Stephen Swoyer
- April 8, 2014
At TDWI's recent Executive Summit in Las Vegas, Nevada, Teradata veteran Dan Graham got downright heretical, at least from the perspective of data management orthodoxy. The problem, Graham argued, is that DBAs tend to be a little bit too conservative, too orthodox. That must and will change, he says.
- By Stephen Swoyer
- April 8, 2014
Having all the data can't help your company improve its overall operations. To drive and maintain BI adoption, an organization you must understand that change must be managed through three stages in five simple steps.
Report explores trends in data warehouse architectures and discusses how newly available, relevant technologies can be used to leverage new business opportunities for big data.