IMS, a leading technology provider for commercial real estate (CRE) sponsors, needed to accelerate the extraction of relevant data from disparate sources.

Large scale infrastructure and software solutions are available to support geospatial queries, which includes geospatial data storage, metadata design, and scaling.

This is the first article of a new blog series that will demonstrate the power of Xcalar Data Platform for ad hoc analytics. I will demonstrate how quickly I could obtain insights from public available data that contains hundreds of millions of rows.

For this exercise I will showcase Xcalar’s ability to work with streaming data, by performing a sentiment analysis on twitter data that determines the public’s reaction to an Emmy Award show.

At Xcalar, we view data preparation, data science, and analytics as solutions built upon our scale-out relational compute platform.

The partnership between Xcalar and Microsoft provides elastic, scale-out relational compute capabilities for customers.

Xcalar's Culture Described in More than Two Words

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