Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

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. The broker manages and optimizes the queries, distributes them across the servers, combines the results, and returns the result set.

OLAP 93

OLAP Analytics Visualization Dashboards 93

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. An optimal design choice is to use a dimensional model. Building a dimensional model A dimensional model optimizes read performance through efficient joins and filters.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

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

SEPTEMBER 4, 2020

Microsoft referred to this approach as “bring your own database” (BYOD). 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