Smart Data Collective

JUNE 16, 2022

One of the most valuable tools available is OLAP. Using OLAP Tools Properly. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Several or more cubes are used to separate OLAP databases.

Online Analytical Processing 139

Online Analytical Processing OLAP Analytics Data Warehouse 139

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.

OLAP 93

OLAP Analytics Visualization Dashboards 93

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Benefits of BI BI helps business decision-makers get the information they need to make informed decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Jet Global

OCTOBER 26, 2021

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Technically speaking, OLAP refers to methodologies for producing multidimensional analysis on high-volume data sets.).

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

SEPTEMBER 4, 2020

Microsoft referred to this approach as “bring your own database” (BYOD). Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Jet Analytics can save substantial time and money. Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

SEPTEMBER 22, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. To learn about authoring and running notebooks, refer to Authoring and running notebooks. For more details, refer to MERGE and QUALIFY clause.

Data Warehouse 117

Data Warehouse OLAP Risk Online Analytical Processing 117