2016 Agile Architecture Big Data 
Agile Engine
FEBRUARY 20, 2019
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”.
CTOvision
DECEMBER 30, 2015
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. And the agility of this model is helping innovators innovate and developers develop. Expect 2 Billion smart phones in the world in 2016.
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Cloudera
SEPTEMBER 24, 2021
One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.
TIBCO - Connected Intelligence
OCTOBER 26, 2020
Esther founded Alldatum in 2016 after a successful career at firms such as IBM, Oracle, and SAP. I founded Alldatum in 2016 to serve a fast-growing need here in Mexico. But as companies commenced their digital transformation journeys, they inevitably encountered problems with their data. . How do you help them?
Hu's Place - HitachiVantara
JANUARY 3, 2019
Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. A 2016 Forbes article published a survey of data scientists which showed that most of their time, 80%, is spent on massaging rather than mining or modeling data.
CTOvision
MAY 24, 2016
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.
OverOps
APRIL 23, 2019
The second phase of cloud evolution occurred between 2014 and 2016. This exhilaration was primarily driven by the idea that the cloud could revamp businesses because of its innovation, cost savings and agility. Many organizations committed themselves to move complete data center applications onto the public cloud.
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