Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. What Are the Disadvantages of Azure Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift. “We

Big Data 109

Big Data Analytics AWS Data 109

Trigent

AUGUST 23, 2023

In the wake of hyper-digitization, manufacturers are leveraging advanced technologies like RPA, IoT, and AI to make their processes more efficient. The requirement of each manufacturing business is different based on industry & target customers, but many of their back-end processes are similar.

Generative AI 52

Generative AI Innovation Artificial Inteligence Off-The-Shelf 52

Datavail

SEPTEMBER 17, 2019

Some common use cases, or “giant ideas” which can be mobilized quickly with a MongoDB Atlas deployment include: Gaining visibility across enterprise datasets in multiple cloud environments. Turning fast-moving internet of things (IoT) data streams into insight. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Picture source: Stellar. Data sourcing. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13