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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

Content includes reports, documents, articles, presentations, visualizations, video, and audio representations of the insights and knowledge that have been extracted from data. This is where SAP Datasphere (the next generation of SAP Data Warehouse Cloud) comes in.

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Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center

AWS Big Data

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. For instance, a global sports gear company selling products across multiple regions needs to visualize its sales data, which includes country-level details.

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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Run cell #12.

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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

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Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight periodically runs Amazon Athena queries to load query results to SPICE and then visualize the latest metric data. For now, let’s filter with the job name multistage-demo.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster.

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