Rocket-Powered Data Science

JULY 19, 2023

What could be faster and easier than on-prem enterprise data sources? That is not a totally clear separation and distinction, but it might help to clarify their different applications of data science. And no one could deny that these benefits would be substantial.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 129

Management Internet of Things Statistics Data-driven 129

Cloudera

OCTOBER 3, 2018

We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. Besides that, our enterprise customers want us to deliver projects like Apache Nifi, Apache Spark and Apache Impala in the data center and in the public cloud.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Stream” itself was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20