Remove Data Processing Remove Metadata Remove Visualization
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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

This integration enables our customers to seamlessly explore data with AI in Tableau, build visualizations, and uncover insights hidden in their governed data, all while leveraging Amazon DataZone to catalog, discover, share, and govern data across AWS, on premises, and from third-party sources—enhancing both governance and decision-making.”

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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. Launch an EC2 instance Note : Make sure to deploy the EC2 instance for hosting Jenkins in the same VPC as the OpenSearch domain. es.amazonaws.com' # e.g. my-test-domain.us-east-1.es.amazonaws.com,

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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. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

IoT 111
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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. For Host , enter your host name of your Aurora PostgreSQL database cluster. Under Create job , choose Visual ETL. Choose Next.

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Integrate custom applications with AWS Lake Formation – Part 2

AWS Big Data

For the purposes of this post, we use a local machine based on MacOS and Visual Studio Code as our integrated development environment (IDE), but you could use your preferred development environment and IDE. For simplicity, we use the Hosting with Amplify Console and Manual Deployment options.

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Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

It provides data catalog, automated crawlers, and visual job creation to streamline data integration across various data sources and targets. Next, we focus on building the enterprise data platform where the accumulated data will be hosted. Amazon Athena is used to query, and explore the data.

Sales 115
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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

The Institutional Data & AI platform adopts a federated approach to data while centralizing the metadata to facilitate simpler discovery and sharing of data products. A data portal for consumers to discover data products and access associated metadata. Subscription workflows that simplify access management to the data products.

Metadata 105