Remove Data Warehouse 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

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

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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. SAP BW/4HANA is SAP‘s next generation of enterprise data warehouse solution.

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Architecture patterns to optimize Amazon Redshift performance at scale

AWS Big Data

Tens of thousands of customers use Amazon Redshift as a fully managed, petabyte-scale data warehouse service in the cloud. As an organizations business data grows in volume, the data analytics need also grows. Amazon Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs).