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Xcalar invites you to their webinar

Virtual Data Warehousing without ETL

About this webinar

Today’s acceleration of data is a challenge for legacy data warehousing solutions. As the number of data sources, variety of data types, and volume of data increases, appliance-based data warehousing solutions become prohibitively expensive to expand and upgrade.

Xcalar VDW was architected to solve Big Data analytics problems with modern infrastructure technologies including data virtualization, and separation of storage and compute. In addition, it provides your people the tools they need including visual programming, SQL, Python, Jupyter Notebook, and open source machine learning libraries including Tensorflow.

Join our Virtual Data Warehousing without ETL webinar where our product team will show you—via a live demo of Xcalar VDW—how we can help you: 

  • Quickly deploy a virtual data warehouse in the cloud or on premises.
  • Accelerate modeling with visual tools, SQL, and Python for rapid development and machine learning algorithms.
  • Connect to data wherever it resides using Xcalar's patented True Data in Place virtualization technology.
  • Immediately start developing your virtual data warehouse -- without moving any data.

Webinar agenda:

  • Xcalar VDW Overview
  • True Data in Place data virtualization
  • Live demonstration of Xcalar VDW
  • Q+A with the Xcalar Product team

Best Regards,

The Xcalar Team

P.S. - Even if you can't make the live session, sign up and we will send you a copy of the recording!

Hosted by

  • Team member
    Terri Matthews Data Analytics Superhero @ Xcalar

    Fascinated with Big Data; Dataphile; No transformation is too complex, too big - bring it!


Next-Gen Data Processing, Management, and Analytics

Xcalar is a next-generation open and extensible analytics platform and a modern day data warehouse for the complete analytics pipeline. This includes data preparation/quality, virtual data warehousing, large-scale interactive analytics, data science, and workload operationalization.