The Why & How of Data Fabric – StreamSets

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Thursday, August 25   |   10am PT   |   1pm ET Simplify Self-Service with Data Fabric Everyone needs data. But can everyone find it in your distributed data estate? If the answer is a resounding ‘no,’ join us and industry analyst Mike Ferguson of Intelligent Business Strategies to: Find out about the challenges caused by today’s set-up and […]

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Improving Agility Along the Value Chain with the Logical Data Warehouse

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Denodo Webinar with Mike Ferguson Date: Wednesday, June 22, 2016 | 10:30h CEST / 09:30h BST Register here While companies focus on obtaining a holistic view of their data to make insight-driven decisions, IT departments struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true […]

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Accelerating Data Product Development in a Data Mesh Using Automation & Data Fabric – IDERA

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Thu, Aug 17, 2023    |   4:00 PM – 5:00 PM BST Increasingly, Data Fabric is being viewed as a common platform that can support multiple teams of domain-oriented data engineers to create data products in a Data Mesh for use in analytics. The objective is to create a production line that acts as a […]

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Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics

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Live webinar with  Automation – Increasing Agility and Reducing Time to Value of your Enterprise Analytics With Mike Ferguson, Intelligent Business Strategies and Ted Orme, Attunity Wednesday 21 September 2016 – 10am BST | 11am CEST The modern distributed landscape is becoming increasingly complex. At the same time, enterprises’ thirst for new data, agility and […]

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Democratizing Data Engineering While Modernizing Your Data Architecture – Data Virtuality

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Tuesday, September 26   |   4:00pm – 5:00pm CET Register Webinar overview As the digital landscape continues to evolve, the complexities of data management and integration become increasingly critical. Amidst this transformation, businesses are gravitating towards a data-centric model, prompting a wider range of professionals, including those with non-technical backgrounds, to take part in the data conversation. […]

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