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. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

FineReport

JUNE 24, 2021

BI software solutions quickly and precisely deliver informative reports and, in the end, fit a solid basis for decision-making over business operations. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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 Online Analytical Processing 86

Sisense

SEPTEMBER 3, 2019

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

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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). JasperSoft for Big Data Analytics. Insights can also be shared externally with a single click.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). Over the past few decades, however, technology has been closing that gap.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

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. Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

OCTOBER 22, 2020

Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

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. Small-scale campaign queries would still run on the provisioned cluster, and large-scale queries would use the Redshift Serverless endpoint.

Big Data 91

Big Data Data Warehouse Advertising OLAP 91

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. For customers, we have information such as their unique user name and email address; for the address entity, we have one or more customer addresses.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

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 96

Analytics Data Warehouse Data Lake Metadata 96

AWS Big Data

AUGUST 1, 2024

Discovery of workload and integrations Conducting discovery and assessment for migrating a large on-premises data warehouse to Amazon Redshift is a critical step in the migration process. For more information on Redshift cluster architecture, see Data warehouse system architecture. For more information, see Working with sort keys.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

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

AWS Big Data

MARCH 13, 2025

We highlight the key distinctions between open-source Pinot and StarTree, and provide valuable insights for organizations considering a more streamlined approach to their real-time analytics infrastructure. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.

Management 105

Management Analytics OLAP Online Analytical Processing 105