Remove Business Intelligence Remove Data Processing Remove Metadata
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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive. This eliminates guesswork when coming up with business strategies.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). It streamlines access to various AWS services, including Amazon QuickSight , for building business intelligence (BI) dashboards and Amazon Athena for exploring data.

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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.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

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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. Their existing business intelligence (BI) tool runs queries on Athena. On your project, in the navigation pane, choose Data.

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How can CIOs safely unleash generative AI on their company’s data?

CIO Business Intelligence

How can business leaders balance these two conflicting considerations? Enter GenBI, the new generation of business intelligence GenBI aims to resolve this dilemma by marrying GenAI and business intelligence (BI). At the same time, business users worry about the precautions a GenBI solution takes to secure data.