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Connecting the Three Spheres of Data Management to Unlock Value

Dataversity

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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Integrating inRiver with Salesforce

Ntara

In this article, we’ll cover what we’ve learned through building connectors between inRiver and Salesforce—and what you should know before you tackle an integration. You can expect a constant back-and-forth as attributes are added and the data model—which both systems have to be aware of—is adjusted. Image configurations.

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

Data Pine

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? A data governance framework. Identify root causes of data governance to drive impactful change.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? A data governance framework. Identify root causes of data governance to drive impactful change.

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The Essential Guide to ETL Developer Skills, Roles, and Responsibilities

Analysts Corner

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.