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Go to:The world of Hadoop has grown overly complex. As data analytics has evolved, the need for add-on components has grown. The initial Apache definition of “Big Data” did not include streaming data, a cloud data warehouse, graph analytics, location intelligence, and machine learning, to name just a few examples. In an era where more and…
In this age of digital innovation, organizations need to have continuous insight into their services, users, and the enormous volume of data that powers these services. In this article, we explore how Kinetica delivers high-performance analytics on a massive scale of streaming data to today’s organizations. Kinetica helps its customers solve a variety of problems,…
From discovering new drugs more quickly, to reacting more effectively to the spread of disease, healthcare organizations always need their insights faster than they’re getting them. The ability to instantly analyze complex, large-scale data is consequently becoming increasingly relevant to healthcare outcomes. The Kinetica Streaming Data Warehouse, a data analytics platform delivering real-time analysis on…
We’re excited to announce the latest release of Kinetica – the platform built to simultaneously stream, ingest, analyze, and publish data at speed and scale. Kinetica applies high performance analytics, location intelligence, graph analytics, and machine learning capabilities to an organization’s entire collection of data. The 7.1 release scales up Kinetica with petabyte capacity, improves…
As more and more data becomes available from sensors, from customers, from transactions—much of it with time and location information—there are increasing demands to analyze these data sets and visualize the results on maps. But today’s geospatial toolsets are hardly up to the task. Spatial databases weren’t designed for a world where IoT systems might…
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