Octopai

JANUARY 21, 2020

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. Saving time and headaches with online analytical processing tool.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Jet Global

OCTOBER 26, 2021

In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.”

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

Jet Global

SEPTEMBER 4, 2020

Now, instead of making a direct call to the underlying database to retrieve information, a report must query a so-called “data entity” instead. 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. Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

AUGUST 11, 2019

And, again, the ultimate goals are to better understand how the business is doing, make better-informed decisions that improve performance, and create new strategic opportunities for growth. So, BI deals with historical data leading right up to the present, and what you do with that information is up to you.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

AWS Big Data

MARCH 7, 2023

Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69