Business Objectives Metrics OLAP 
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.
BizAcuity
APRIL 1, 2023
Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.
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BizAcuity
JANUARY 31, 2023
Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.
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.
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.
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. You can collect metrics and events and analyze them for operational efficiency.
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.
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