Remove 2012 Remove Business Intelligence Remove Data-driven Remove Metadata
article thumbnail

Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

article thumbnail

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

AWS Big Data

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from data by simply loading and querying data in the data warehouse.

Finance 83
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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 ).

article thumbnail

How Novo Nordisk built distributed data governance and control at scale

AWS Big Data

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

article thumbnail

Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.