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. Saving time and headaches with online analytical processing tool. However, over time new technologies and tools developed to ease data reporting and analysis.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Jet Global

OCTOBER 26, 2021

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” That may prompt further investigation and could reveal insights as to the appropriate corrective action.

Analytics 98

Analytics Reporting OLAP Slice and Dice 98

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels.

Business Intelligence 84

Business Intelligence OLAP Data Warehouse Predictive Analytics 84

Octopai

DECEMBER 15, 2019

Online analytics processing will further enable advanced analytics as these technologies continue to improve through 2020 and beyond that. Business intelligence teams can create compelling interpretations of what a dataset means for a company by having the complete lineage illustration available at their fingerprints.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

Jet Global

APRIL 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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 80

Enterprise OLAP Business Intelligence Data Warehouse 80

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” A few decades ago, technology professionals developed methods for collecting, aggregating, and staging their most important information into data warehouses.

Business Intelligence 78

Business Intelligence Data Warehouse OLAP Finance 78

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless.

Data mining 75

Data mining Business Intelligence OLAP Data-driven 75

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Analytics 75

Business Analytics Business Intelligence Analytics Dashboards 75

Sisense

NOVEMBER 12, 2020

While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data-driven Data Lake OLAP 52

Jet Global

OCTOBER 22, 2020

It updates a dedicated database against which you can perform reporting and analytics. That stands for “Online Analytical Processing,” and it’s a paradigm that goes back a little more than two decades, to a time when database performance and computational power were far less robust than they are today.

Modeling 52

Modeling OLAP Analytics Data Warehouse 52

Jet Global

SEPTEMBER 4, 2020

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. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake Data Warehouse OLAP 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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise Business Intelligence OLAP Data Warehouse 70

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. Data subscription and access is fully managed with this service.

Analytics 67

Analytics Data Warehouse Data Lake Metadata 67

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space.

Modeling 52

Modeling Data Warehouse OLAP Data-driven 52

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise Business Intelligence OLAP Data Warehouse 40

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale.

Data Warehouse 76

Data Warehouse Data Lake OLAP Modeling 76

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing.

Reporting 52

Reporting IT Data Warehouse Finance 52

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). So let’s dive in! OLTP vs OLAP. An OLAP database is best for situations where you read from the database more often than you write to it.

Data Warehouse 78

Data Warehouse OLAP Data-driven Analytics 78