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Driving the Next Wave of Data Lineage Visualization with Automation

Octopai

But although this might work for absorbing small data sources into a larger one, it soon becomes impractical. A better approach is to leave the data sources alone and bring summarized versions of each into a data warehouse. Simply put, data lineage is a tracking tool that documents the journey from data source to target.

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Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms

Jet Global

Do you need frontend functionality with data visualization and self-service analytics? What about centralized data storage in the form of a data warehouse? In this white paper, you will see a side-by-side comparison of 17 key areas to consider when evaluating a business intelligence and analytics solution.

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Understanding Data Entities in Microsoft Dynamics 365

Jet Global

It uses its own data mart, which cannot be customized in any way. Power BI is an analytical tool for data visualization and discovery. When working with D365 F&SCM data, it typically requires specialized programming skills to develop reports or to make changes to existing reports. Enterprise Business Intelligence.

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The Future of AI in the Enterprise

Jet Global

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Download this white paper! And we can help! Want to know more about how BI feeds AI? Download Now.

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Jet vs. Data Entities in Dynamics 365 Finance & Operations

Jet Global

If you want to tailor your data entities to your business, most customers (and partners) must take the time to develop their own custom data entities for direct use in reporting and visualization (Power BI). 4 Common Issues with Using Data Entities. It also supports incremental updates to keep this information current.

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The Future of AI in the Enterprise

Jet Global

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Download this white paper! And we can help! Want to know more about how BI feeds AI? Download Now.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. WhereHows is a DG project from LinkedIn, focused on big data.