IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Cloudera

AUGUST 31, 2020

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Data Science Services.

Management 66

Management Slice and Dice Data Warehouse Analytics 66

Smarten

APRIL 19, 2022

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78