Remove Business Intelligence Remove Online Analytical Processing Remove Publishing
article thumbnail

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

AWS Big Data

Data outbound Data is often consumed using structured queries for analytical needs. Also, datasets are accessed for ML, data exporting, and publishing needs. Consumption This pillar consists of various consumption channels for enterprise analytical needs. Data subscription and access is fully managed with this service.

article thumbnail

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

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.

article thumbnail

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

AWS Big Data

Amberdata, a blockchain and crypto market intelligence company, uses StarTree for real-time analytics to improve query performance, reduce SLA times, and lower infrastructure costs. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.