Kinetica in Motion
Ditching the Performance Constraints of Snowflake for a Streaming Data Warehouse
Introduction Snowflake just recorded the largest IPO in history – confirming the demand for high-performance data warehousing in the enterprise analytics space. Snowflake’s offering is extremely attractive upfront. It is easy to use with a relatively fast and seamless installation …
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The Cloud Data Warehouse Conundrum
Escaping Hadoop Purgatory with a Streaming Data Warehouse
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, …
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Scaling Streaming Analytics to Petabytes
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 …
Read MoreKinetica for the Healthcare Industry
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 …
Read MoreWhat’s New In The Kinetica Streaming Data Warehouse 7.1
We’re excited to announce the latest release of The Kinetica Streaming Data Warehouse, 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 …
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HEXStream and Disaster Tech Announce New Partnership Powered by Kinetica
Big News! We’re excited to share HEXstream and Disaster Tech’s new partnership, powered by Kinetica, to help utilities make better and faster decisions for emergency planning, response, and restoration.How does Kinetica fit into all of this? Well, Disaster Tech‘s Data-science …
Read MoreEarth Challenge 2020: Global Food Security & Insect Populations
Sheltering in Place with Lauren Pierce, Head of People, Kinetica
Forecasting Demand During Crisis: GPU Accelerated Recurrent Neural Networks With TensorFlow 2.0
When machine learning models fall victim to anomalies, real-time up to date data, accelerated model training, and an agile deployment process become critical in the response effort. Introduction Even the most slick, well designed forecasting models can fall victim to …
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