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Join VP and Principal Analyst at Forrester, Michele Goetz to learn, what is Data Fabric and why data-driven organizations need one; how to create a logical data fabric and some of the most important use cases; how organizations can expect to reap a substantial ROI by deploying a logical data fabric
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It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before.
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What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when?
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With the appearance of cloud object storage services like AWS S3 or Azure ADLS, the data lake has seen an upturn in usage as some of the challenges of the original idea were addressed. However, companies across the globe still find it challenging to adopt data lakes into the corporate data ecosystem.
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Tired of complex data pipelines and siloed information? Discover why leading enterprises choose Denodo over CData for seamless data access, integration, and delivery.
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What is a data fabric? Gartner defines it as “one architecture that can address the extreme levels of diversity, distribution, scale and complexity in organizations’ data assets that are adding tremendous complexity to the overall data integration and data management design.” But do you know that data fabric can be logical or physical? What’s the difference? Which one to use and when?
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Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios.
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Presented at Chief Data & Analytics Officers Financial Services LIVE (US)
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Data Fabric and Data Mesh had been trending high in the data and analytics space, so what is a data fabric and what is a data mesh? How are they different and does it matter?
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