On Demand Webinar
Data Virtualization & Cloud OLAP: How Can They Improve Your BI?
Join us for this free 1-hour webinar from GigaOm Research. The webinar features Andrew Brust, analyst from GigaOm, and special guest Dave Mariani, co-founder and Chief Strategy Officer from AtScale, a leader in intelligent data virtualization.
In this 1-hour webinar, you will discover:
- How data virtualization, combined with on-demand aggregation, adds value to today’s cloud data warehouses
- How modern OLAP, built for the cloud, fits into the contemporary analytics stack
- Why semantic models and analytics-specific query languages deliver crisper insights
Register now to join GigaOm and AtScale for this free expert webinar.
Data virtualization integrates data and makes it available for querying, all without physically moving or altering it. With today’s multitude of disparate data sources – many of them high-volume – data virtualization is hot. After all, the technology applies across data lakes, data warehouses, operational databases, enterprise software, SaaS applications, and even APIs. Business users and analysts alike can query the sources individually, or in combination.
But beyond these mechanics, what can really make data virtualization sing is dimensional modeling on top, which is actually a form of online analytical processing (OLAP). As cool as ad hoc querying of “raw” data might seem, there are lots of mainstream analytics scenarios where the questions are well-known, as are the metrics and aggregational categories around them. That’s what OLAP, updated for today’s data landscape, and for the cloud, delivers: well-modeled data, brought together in a single access layer, and easily consumable, especially by business users.