Remove Events Remove OLAP Remove Online Analytical Processing
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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.

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What Role Does Data Mining Play for Business Intelligence?

Jet Global

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.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box. You can collect metrics and events and analyze them for operational efficiency.

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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

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). What Is Financial Intelligence?

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. Archiving the files provides a backup option in the event of disaster recovery.

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Data Model Development Using Jinja

Sisense

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.

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Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

AWS Big Data

StarTree overview One of the founders of Apache Pinot, Kishore Gopalakrishna, launched StarTree to equip organizations globally with the power of real-time data and build a fully managed platform for real-time analytics.