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BIG DATA MANAGEMENT

Terralogic | August 23, 2021

Terralogic Software Solutions Inc. and Aparavi partners to help customers minimize data complexity, and data footprint by 6-46%, lower cost by 8-40%, giving customers value-based data effectively mitigating risk management. Through this partnership with Aparavi's Data Intelligence & Automation, two organizations will help their clients by providing services that transform and consolidate distributed data on a global scale. Terralogic ensures the framework and remains relev...

thenextweb | March 06, 2020

From data analysis to machine learning to artificial intelligence, The 2020 All-in-One Data Scientist Mega Bundle this training explains it all.In the event you aren’t a numbers person, it’s entirely possible that the science of breaking down data, putting it into a new configuration and thereby recontextualizing its meaning may feel like geek gobbledygook. But data science isn’t about making information impenetrably complex. It’s about making huge data sets more re...

BIG DATA MANAGEMENT

Cloudera | August 12, 2021

Cloudera, Inc., (NYSE: CLDR), the enterprise data cloud company, today announced that LG Uplus has chosen Cloudera's data platform for improving its 5G network service quality and optimizing the customer experience. With Cloudera, LG Uplus is empowered to leverage the actionable intelligence and insights generated from the data to support its digital transformation initiatives and future proof its journey to the cloud. As one of the first telecommunication providers to commerc...

itproportal.com | January 31, 2020

It wasn’t so long ago that business analytics operated on a months-long cycle. For most of the twentieth century, the main interaction between a company and its data was a regular review of its most easily quantifiable measures, in the form of annual or quarterly financial assessments. Today, interacting with data this infrequently would be unimaginable in even a small business. As data availability and transfer speeds have grown at exponential rates, the time lag between intake and analys...