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A Look at Gartner's Data Management Analytics Leaders

A Look at Gartner's Data Management Analytics Leaders

It’s hard to believe that just a few short years ago Hadoopers were running around declaring that data warehouses were dying.

They argued that the proprietary hardware and software they required was too expensive … that the amount and kinds of data that existing data technologies could handle was too limited … and that solutions based on commodity hardware and open source software would rule.

Fast-forward to 2015 and you’ll see that the naysayers were at least partly wrong.

Data Warehouses aren’t going anywhere. Instead they’re being augmented to support new data structures and new data types like XML, text, documents, geospatial and access to externally managed file systems.

In its Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, Gartner analysts Mark A. Beyer and Roxane Edjlali suggest that enterprises should embrace hybrid technology platforms.

These platforms need to expand beyond the logical data warehouse and leverage multiple repository strategies, whether from multiple vendors or just one.

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