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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. These needs are then quantified into data models for acquisition and delivery. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.

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The Rising Need for Data Governance in Healthcare

Alation

Healthcare is changing, and it all comes down to data. Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Data & analytics represents a major opportunity to tackle these challenges.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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The Modern Data Stack Explained: What The Future Holds

Alation

Data literacy — Employees can interpret and analyze data to draw logical conclusions; they can also identify subject matter experts best equipped to educate on specific data assets. Data governance is a key use case of the modern data stack. Who Can Adopt the Modern Data Stack?

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Enable data analytics with Talend and Amazon Redshift Serverless

AWS Big Data

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349. This is optional.

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Empowering data mesh: The tools to deliver BI excellence

erwin

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

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The disruptive potential of open data lakehouse architectures and IBM watsonx.data

IBM Big Data Hub

watsonx.data is truly open and interoperable The solution leverages not just open-source technologies, but those with open-source project governance and diverse communities of users and contributors, like Apache Iceberg and Presto, hosted by the Linux Foundation. This provides further opportunities for cost optimization.