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”.

Big Data 71

Big Data Google Cloud Data Azure 71

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.

Analytics 97

Analytics Network Innovation IoT 97

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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.

Big Data 64

Big Data Analytics Agile System 64

d2iq

FEBRUARY 19, 2021

We shall see that end-to-end machine learning platforms for the big data era have only emerged over the last five years at various tech companies such as Facebook, Twitter, Google, Uber, and Netflix. It relied on Torch’s core but replaced Lua with Python, which is the de facto language for data science.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 45

Big Data Scalability Data Analytics 45

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.

Cloud 189

Cloud Data Center Architecture AWS 189