Remove Dashboards Remove Online Analytical Processing Remove Recreation/Entertainment
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Consumption This pillar consists of various consumption channels for enterprise analytical needs. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers.

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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.

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Architecture patterns to optimize Amazon Redshift performance at scale

AWS Big Data

You might also consider optimizing Amazon Redshift performance when your data analytics workloads or user base increases, or to meet a data analytics performance service level agreement (SLA). Julia Beck is an Analytics Specialist Solutions Architect at AWS.