Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 111

Data Artificial Inteligence Machine Learning Analytics 111

TIBCO - Connected Intelligence

JUNE 10, 2020

I recently teamed up with Austrian customer Raiffeisen Bank , Dutch partner Connected Data Group , and German partner QuinScape to deliver a webinar entitled “Next-Generation Data Virtualization Has Arrived.” Connected Data Group helps clients become more data-driven and was co-founded with Antoine Stelma.

Sport 62

Sport Data Virtualization Analytics 62

Cloudera

DECEMBER 20, 2022

Additionally, we are in a segment of the value chain where there is fierce competition and new competitors are more digital and more agile. On the other hand, traditional, larger companies have huge cost structures, are less agile, and need digitization to compete.

Energy 81

Energy Analytics Data Artificial Inteligence 81

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

TIBCO - Connected Intelligence

APRIL 1, 2021

Below is a more in-depth look at the three major areas where data virtualization capabilities are evolving to meet growing market demands. Data virtualization and self-service capabilities. Organizations are now seeing a rise in a new class of citizen data scientists and citizen data engineers who use self-service analytics tools.

Virtualization 49

Virtualization Meeting Marketing Data 49

TIBCO - Connected Intelligence

SEPTEMBER 14, 2020

For decades, firms have tried myriad strategies to put their data house in order, including ETL, data warehouses and marts, big data, and most recently cloud data lakes. But the old methods are just not delivering the agility and accessibility that digital businesses need today. . Click To Tweet.

Virtualization 49

Virtualization Data Analytics Big Data 49

Cloudera

OCTOBER 26, 2023

Often that requires a centralized data engineering unit who manages data for everyone. With architectures like data mesh, that may change in the future. Future-proof the organization Agile companies are successful companies. That’s very important. The enterprise needs to be singing from the same hymnal.

Culture 77

Culture Data Company Analytics 77