Tag: Data Infrastructure

BI Categories, Data Mining

Data Fabric Tools: Benefits and Features

August 2, 2023


The term “data fabric” refers to a complete architecture combining physical hardware layers, system processes, and virtual layers to allow data across systems to be accessed, managed, and analyzed at a single location. At the heart of data fabric tools […]

BI Users, Business Users

Power availability stymies data center growth

July 27, 2023

Via: Network World

The chief obstruction to data center growth is not the availability of land, infrastructure, or talent. It’s local power, according to commercial real estate services company CBRE In its 2023 global data center trends report, CBRE says the market is […]

BI Categories, Data Mining

Edmunds sets stage for AI with data infrastructure consolidation

July 10, 2023

Via: CIO

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future […]

BI Users, Data Analyst

AI and Machine Learning: Data and Infrastructure Implications

June 12, 2023

Via: Database Trends and Applications

Artificial intelligence (AI) is the most discussed hot topic of the moment, but the true impact on our society and the potential impact for enterprises are still unknown. While we may not fully understand its potential impact quite yet, we […]

BI Categories, Data Mining

The Future of Enterprise Data Infrastructure − Autonomous Automation

October 5, 2022


The enterprise storage estate is one of the areas where organizations can easily automate and substantially reduce costs without sacrificing application performance, availability, or cyber resilience. Automation involves the simplification of the data center infrastructure by consolidating the storage environment. […]

BI Categories, Data Mining

Is Your Data Infrastructure Stifling Innovation?

September 30, 2021

Via: CIO

There are myriad reasons why an estimated 90% of startups fail. You need a great idea (and not just one great idea), you need inspiration, funding, smart people—and a fair amount of luck. Miss any one of these factors, and […]