Remove Insurance Remove Online Analytical Processing Remove Optimization
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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. The broker manages and optimizes the queries, distributes them across the servers, combines the results, and returns the result set.

OLAP 99
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

They should also provide optimal performance with low or no tuning. Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores.

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

AWS Big Data

Indexes are then configured to optimize query performance, as per the flow in the diagram below. StarTrees tiered storage enables automation for real-time query processing with index pinning, prefetching, and intelligent data movement between hot and cold storage, optimizing both performance and cost.

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Reduce IT Dependence for SAP S/4HANA Reporting

Jet Global

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. BW does not provide reporting per se; it provides a data repository optimized for certain kinds of reporting.