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Go to:GPU acceleration is changing the game for fast, location-based analytics. Why? The unique multi-core architecture of GPUs makes it possible to process many computations efficiently and quickly. In fact, the breakout success story this year is around IoT uses cases with GPU databases that “push real-time streaming use cases to the front burner,” according to Ovum’s 2017 Trends…
The new O’Reilly book, Introduction to GPUs for Data Analytics, co-authored by our own Eric Mizell is now available! This is the first book to outline how advances in accelerated computing technology can be leveraged to address current and future database and big data analytics challenges. This book is available for download as an ebook from Kinetica. Or,…
Next-generation GPU computing is opening new opportunities for intelligent, real-time analytics within the Financial Services industry. It is widely reported that in the early 1800s, the Rothschild banking family of France set up a vast network of pigeon lofts spread across Europe, and deployed a prized coop of racing pigeons to fly between its financial…
Congratulations. You’ve just been promoted to Vice President of Data and Analytics at one of the largest American auto manufacturers. Before you’ve even had a chance to sit down, have a cup of coffee, and enjoy your corner office on the 45th floor, your new boss needs to see a forecast of new car sales of the…
These days, practically any BI tool might claim to query billions of rows. However, I’ve yet to see any BI tool, out of the box, do this in sub-second time using SQL query…until now. As a matter of fact, in my first four months with Kinetica, we’ve been able to do this with Tableau, Power…
In the press
