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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

With automatic scorecards generated for your table groups, you can visualize data hygiene instantly. Watch the Launch Webinar Here: [link] Download Now Request Demo This game-changing capability brings more profound insights and greater control over your data health. New Quality Dashboard & Score Explorer.

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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. A Python virtual environment.

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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

In the following steps, replace amzn-s3-demo-destination-bucket with the name of the S3 bucket. For Role name , enter a role name (for this post, GlueJobRole-demo ). You can navigate to the projects Data page to visually verify the existence of the newly created table. Under Create job , choose Visual ETL. Choose Next.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Weve all seen the demos of ChatGPT, Google Gemini and Microsoft Copilot. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. Theyre impressive, no doubt.

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Author data integration jobs with an interactive data preparation experience with AWS Glue visual ETL

AWS Big Data

We are excited to announce a new capability of the AWS Glue Studio visual editor that offers a new visual user experience. Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. For Role name , enter a role name (for this post, GlueJobRole-recipe-demo ). Choose Next.

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Get Maximum Value from Your Visual Data

DataRobot

Who Can Benefit from the Visual Data? DataRobot Visual AI. In 2020, our team launched DataRobot Visual AI. In 2020, our team launched DataRobot Visual AI. Similar to other DataRobot projects, Visual AI projects delivered deployable models and associated model insights. What’s New In Visual AI. Get Insights.

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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. You can deploy the end-to-end solution to visualize and analyze trends of the observability metrics.

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