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. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 82

OLAP Analytics Visualization Dashboards 82

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 Internet of Things 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 Finance Data Warehouse OLAP 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 Key Performance Indicator 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 Intelligence 75

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

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 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 69

Analytics Data Warehouse Data Lake Metadata 69

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 OLAP Business Intelligence Cost-Benefit 40

CIO Business Intelligence

JANUARY 20, 2023

The software selection service SelectHub breaks down some of the most important categories and features : Dashboards Visualizations Reporting Data mining ETL (extract-transfer-load — tools that import data from one data store into another) OLAP (online analytical processing) Of these tools, dashboards and visualization are by far the most popular; (..)

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. Online Analytical Processing (OLAP). Insights can also be shared externally with a single click. Source: [link] ]. Source: [link] ]. Ad Hoc Analysis.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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 mining Visualization 84

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

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. Amazon Redshift has recently added many SQL commands and expressions.

Data Warehouse 105

Data Warehouse OLAP Risk Online Analytical Processing 105

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

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 Reporting Sales 52

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 87

Data Warehouse KPI Optimization Cost-Benefit 87

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 OLAP Data Warehouse Cost-Benefit 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 Statistics Cost-Benefit 78

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 68

Big Data Data Warehouse Advertising OLAP 68

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 79

Data Warehouse Data Lake OLAP Cost-Benefit 79

IBM Big Data Hub

SEPTEMBER 25, 2023

As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

OLAP 86

OLAP Data Lake Data-driven Snapshot 86

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 Finance Data Warehouse 52