Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. data streaming, data engineering, data warehousing etc.),

Cloud 85

Cloud Technical Review Storage Backup 85

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). In either case, there’s a difference between “trends” and “trendy.”

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Even on Azure, Linux dominates. Until Next Year.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 80

Data Analytics Government Technical Review 80