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The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The Why: Data Governance Drivers. Why should companies care about data governance?

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

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Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS

AWS Big Data

FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information. About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

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Why The Public Sector Needs Data Governance

Alation

Public sector departments and agencies traditionally collect data so that they can support citizens and deliver services. In today’s analytics-driven society, the public sector can transform this historic information to reduce operational costs and improve public service to better address the needs of a given community.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.