Data Warehouse Modernization

The status quo approach to data warehousing is out of step with the times: Many enterprises can’t take full advantage of powerful analytic and BI tools and skill sets because their legacy data warehouse is too slow, too expensive to scale, and too difficult to manage. And when real-time decisions are needed—those are insights you can’t afford to lose.
For most organizations, data warehouses are more critical than ever. But all too often, they’re also no longer able to keep up to the task. They are simply too inflexible. They’re too hard to scale. They’re too expensive to scale. They require too many technical resources to manage and update. And they’re too hard to manage in the face of modern requirements such as huge data volumes, growing numbers of users, increasingly complex queries, and real-time data.

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