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 Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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 72

Analytics Data Warehouse Data Lake Metadata 72

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

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

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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. It should also support various storage formats, such as block storage, object storage and file formats like Parquet, Avro and ORC.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

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. The information is typically displayed and managed by a BI platform.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Octopai

DECEMBER 15, 2019

Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. Let’s take a look at what data lineage automation will look like in 2020. Metadata Management Automation Increases Accuracy.

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

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). Outside of work, Neha is pursuing a Masters in Information and Data Science from UC Berkeley and enjoys dancing and painting. So let’s dive in! OLTP vs OLAP.

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. Data sharing provides live access to data so that you always see the most up-to-date and consistent information as it’s updated in the data warehouse.

Big Data 71

Big Data Data Warehouse Advertising OLAP 71

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. This ensures fast, consistent performance.

Data Warehouse 83

Data Warehouse Data Lake OLAP Cost-Benefit 83

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 94

OLAP Data Lake Data-driven Snapshot 94

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. To make matters worse, the resulting information is out-of-date from the moment that you export data from SAP to Excel.

Reporting 52

Reporting IT Finance Data Warehouse 52