Datavail

MARCH 4, 2020

They’re finding it almost impossible to co-opt their legacy database technology for use with cutting-edge data sources like Artificial Intelligence (AI) and the Internet of Things (IoT). For years, companies have invested in data centers (and, more recently, cloud services) to store and manage their growing data lakes.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence IoT 52

Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. communication skills, strong problem-solving and analytical skills, strategic thinking, and.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Actian

NOVEMBER 11, 2019

The fact is, in the past, Databases really have been Candidate B in this scenario; let me give you a bit more detail and it will be crystal clear why Developers have historically shunned them. I’m a developer not a database administrator and my end-users are business analysts. Respect the legacy, but move towards the future.

Database Administration 8

Database Administration IoT Comparison Analytics 8

CIO

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data 314

Data Compliance Architecture Technical Review 314