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Zenysis raises $13.3M to scale its big data platform for emergencies across Africa, Asia and South America

TechCrunch

Zenysis Technologies , a big data startup headquartered in San Francisco and Cape Town, announced today that it has closed $13.3 Jonathan Stambolis launched the company in 2016 to improve how developing countries respond to humanitarian emergencies and help them improve public health. . million seed in 2016 and a $5.8

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The 2016 Big Data Prediction: Which of these two types of organization will you be in?

CTOvision

Just a few years ago, that data was useless, now data is collected and used to provide answers and solve problems. As big data use cases continue to evolve, there will be an increasing number of business missions that will be served by new approaches to data. Related articles.

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It's time to establish big data standards

O'Reilly Media - Data

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

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Cray Targets Enterprise Big Data with New Open Agile Analytics System

CTOvision

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics. About Cray Inc.

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December Tech Trends Report and 2016 Enterprise Tech Projections

CTOvision

The Trends To Track in 2016. Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. For more see: [link] TheCyberThreat.

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Top SQL Server 2016 Features: Analytics

Datavail

The release of SQL Server 2016 offered a host of new features for organizations. Some of the new capabilities and enhancements included Stretch Databases, Always Encrypted, a Query Data Store, Dynamic Data Masking, and more. The adoption of big data analysis capabilities is soaring in the enterprise, according to Forbes.

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4 Megatrends in Big Data in 2019 and Beyond

Agile Engine

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.