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Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling

Dataversity

Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024.

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Maximizing Your Data Fabric’s ROI via Entity Data Modeling

Dataversity

They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […]. The post Maximizing Your Data Fabric’s ROI via Entity Data Modeling appeared first on DATAVERSITY.

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

Tableau

This enables employees to see data details like definitions and formulas, lineage and ownership information, as well as important data quality notifications, from certification status to events, like if a data source refresh failed and the information isn’t up to date. Data modeling. Data migration .

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

Tableau

This enables employees to see data details like definitions and formulas, lineage and ownership information, as well as important data quality notifications, from certification status to events, like if a data source refresh failed and the information isn’t up to date. Data modeling. Data migration .

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Data Science vs Data Analytics: Key Differences

Astera

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables.

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What Is Embedded Analytics?

Insight Software

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Look for those that do not require data replication or advanced data modeling.