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Federate Amazon QuickSight access with open-source identity provider Keycloak

AWS Big Data

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file.

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Manage users and group memberships on Amazon QuickSight using SCIM events generated in IAM Identity Center with Azure AD

AWS Big Data

Amazon QuickSight is cloud-native, scalable business intelligence (BI) service that supports identity federation. The IdP metadata is displayed. In the SAML Certificates section, download the Federation Metadata XML file and the Certificate (Raw) file. Choose the previously downloaded metadata file ( IIC-QuickSight.xml ).

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Single sign-on with Amazon Redshift Serverless with Okta using Amazon Redshift Query Editor v2 and third-party SQL clients

AWS Big Data

Use the IdP metadata in block 4 and save the metadata file in.xml format (for example, metadata.xml ). Choose Choose file and upload the metadata file (.xml) You can use a similar setup with any other SQL client (such as DBeaver or DataGrip) or business intelligence tool (such as Tableau Desktop).

Finance 79
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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Metadata and artifacts needed for audits. Use ML to unlock new data types—e.g., images, audio, video.

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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

End users access this data using third-party SQL clients and business intelligence tools. An AWS Glue Crawler scans the above files and catalogs metadata about them into the AWS Glue Data Catalog. They also use an external identity provider (IdP) to manage their preferred user base and integrate it with these analytics tools.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. DG emerges for the big data side of the world, e.g., the Alation launch in 2012.