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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Rita Sallam

JULY 22, 2016

Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component. Q2: Would you consider Sisense better than others in handling big and unstructured data? Research VP, Business Analytics and Data Science. Enjoy your summer!! Twitter: @rsallam.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Data pipelines. Business Analytics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52