Remove 2012 Remove Business Intelligence Remove Metadata Remove Testing
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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.

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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) Choose Test from SQL Workbench/J to test the connection. Set up AWS configuration In this section, we provide the steps to configure your IAM resources.

Finance 77
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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. A catalog or a database that lists models, including when they were tested, trained, and deployed.