IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

Cloudera

SEPTEMBER 11, 2018

This enables data to be acquired, pre-processed, filtered, aggregated and dynamically routed, with only the meaningful information sent to the centralized hub so it can be stored, analyzed, processed, modeled, acted upon, and shared with different applications and services. Pushing actionable predictions to the edge.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

Jet Global

AUGUST 14, 2019

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

O'Reilly on Data

OCTOBER 19, 2021

Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 346

IT Testing Experimentation Software 346

Jet Global

OCTOBER 2, 2019

Cubes are superior to tables in that they can link and sort data by multiple dimensions, allowing for non-technical users to choose from any number of role-specific and highly contextual data points to uncover new insights and adjust tactics and decisions on the fly.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40