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  Optimized for Star Schemas on Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift offers you fast query performance when analyzing virtually any size dataset using the same business intelligence applications you use today. Amazon Redshift uses many techniques to achieve fast query performance at scale, including multi-node parallel operations, hardware optimization, network optimization, and data compression. At the same time, Amazon Redshift minimizes operational overhead by freeing you from the hassle associated with provisioning, patching, backing up, restoring, monitoring, securing, and scaling a data warehouse cluster. For a detailed architecture overview of the Amazon Redshift service and optimization techniques, see the  Amazon Redshift system overview .  For example, a product dimension may have the brand in a separate table. For more information, see  star schema  and  snowflake schema . Optimizations for St

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  Robotic Process Automation Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. Just like people, software robots can do things like understanding what’s on a screen, complete the right keystrokes, navigate systems, identify and extract data, and perform a wide range of defined actions. But software robots can do it faster and more consistently than people, without the need to get up and stretch or take a coffee break. Benefits of RPA There are multiple benefits of RPA, including: 1. Less coding 2. Rapid cost savings 3. Higher customer satisfaction 4. Improved employee morale 5. Better accuracy and compliance 6. Existing systems remain in place Why is RPA the fastest-growing enterprise software in the world? When you combine RPA’s quantifiable value with its ease of implementation relative to other enterprise technology, it’s easy to see why