Business Objectives Online Analytical Processing Testing 
AWS Big Data
AUGUST 1, 2024
The data warehouse is highly business critical with minimal allowable downtime. Thorough testing and performance optimization will facilitate a smooth transition with minimal disruption to end-users, fostering exceptional user experiences and satisfaction. Additional considerations – Factor in additional tasks beyond schema conversion.
Jet Global
SEPTEMBER 4, 2020
Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders. 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.
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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.
AWS Big Data
MARCH 13, 2025
Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. Developers interested in learning more about managed Pinot can deploy real-time analytics with StarTree to test it out or join a session with StarTrees head of product.
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