Remove Insurance Remove Metadata 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. Segments used for batch processing are also stored there. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs.

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

AWS Big Data

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

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

AWS Big Data

StarTree supports a large number of managed connectors, which are used to maintain metadata about the source and ingest data seamlessly into the platform. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.