Remove Interactive Remove OLAP Remove Reference Remove Snapshot
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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Amazon Redshift is simple to interact with. Deselect Create final snapshot.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Top line revenue refers to the total value of sales of an organization’s services or products. Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.