Virtualization allows users with no technical expertise to join data across all on-premises and cloud databases.  Users can also move data from any two systems and ETL teams can migrate thousands of tables.  Having a database like Yellowbrick, where billion-row tables can return an answer set in subsecond times, encryption software from Soterosoft to guarantee the security of sensitive data, and the Nexus Server to convert and migrate between systems is the perfect package.

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Before you watch this video take note of where you are because this is a day to remember forever, the most significant change since the cloud is at the desktop and server level connecting all systems. The only way forward is to make all systems one. Last Thursday, the hybrid-cloud took a giant leap forward by combining the database that is 100X faster than legacy systems with the server that allows the desktops to come alive.

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Today you will witness moving and joining data across every platform in your enterprise faster than magic. The Nexus Desktop with a Nexus Server puts the business user on the same playing field as the data scientist. Combine Nexus with Yellowbrick and you get the greatest hybrid-cloud strategy on today’s market. Watch a billion-row table query in one second. Watch joins across all platforms, and watch how easy everyone from the business user to the ETL teams migrate with a button click.

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I can teach you Yellowbrick analytics!  I have never seen analytics perform faster than on Yellowbrick.  Today we are going to learn about First_Value.  This analytic seems too simple at first, but I will show you how to use First_Value to look for trends. First_Value will display the first value of a specific column residing…

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I can teach you Yellowbrick analytics!  I have never seen a database perform analytics faster than Yellowbrick.  Today you are going to smile when you learn about NTile. NTILE is an analytic function. It divides an ordered data set into a number of buckets indicated by expr and assigns the appropriate bucket number to each…

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