Big Data, Online Analytical Processing and Scorecard

Build a real-time analytics solution with Apache Pinot on AWS

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.

OLAP

OLAP Analytics Visualization Dashboards

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

AWS Big Data

JUNE 21, 2023

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).

Data Warehouse

Data Warehouse Data Lake OLAP Cost-Benefit

Data Leaders Brief

Build a real-time analytics solution with Apache Pinot on AWS

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

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