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ROW and Easement Data Management Solution Released

ArcGIS

ROW and Easement Data Management improves infrastructure planning, utility maintenance, and other functions that require access to land.

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Why is Data Management so Important to Data Science?

KDnuggets

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

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Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

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The Art of Master Data Management at Picnic

Picnic Engineering

Building the data foundation for world’s best online supermarket The Importance of MDM In the fast-paced world of technology, it’s easy to be captivated by the allure of artificial intelligence. The truth is, as companies want to unlock the power of data this starts with strong MDM. Picnic’s MDM Journey Picnic was founded in 2015.

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Striim’s Dynamic Duo: A Powerful Partnership with Yugabyte Redefines Data Management

Striim

Exciting news is on the horizon as Striim proudly announces its Technology Partnership with YugabyteDB, a collaboration set to reshape the landscape of data management. Together, these two companies bring a wealth of expertise to the table, promising a comprehensive solution that addresses the complexities of modern data management.

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Data Management Trends From An Investor Perspective

Data Engineering Podcast

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

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Data Mesh Architecture: Reimagining Data Management

KDnuggets

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.