Do you know the data warehouse/ business intelligence mission? Gartner says that it is “the analysis of all data from across the enterprise to answer questions about the past, present, and future.” That means, bringing together data from various locations – on premises, cloud, suppliers, and 3rd party –, in various formats – structured, unstructured, and semi-structured –, and across various latencies – batch, real-time, and streaming. The performance of BI tools tremendously suffers when they move large amounts of such data into their semantic layer in order to display charts and dashboards. So, how do you solve this problem?
That’s where data virtualization comes in as a solution. Data virtualization is a modern data integration technology that processes the queries at the sources and delivers only the results to the BI tools, thus dramatically improving the performance of these tools.
In this webinar, you will learn:
- Why the performance of BI tools suffers when accessing large amounts of disparate data.
- What is data virtualization and how it optimizes query processing, thus boosting BI performance.
- How to further use data virtualization as an universal semantic layer thus liberating business users to use any BI tools they like.