The first post in this four part series on Data lakes will focus on the business reasons to create one. The second post will delve deeper into the technology considerations & choices around data…
Data Management
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Big DataData ManagementDigitalIOT & Data Flow Management
Use Hortonworks Data Flow (HDF) To Connect The Dots In Financial Services..(3/3)
This is the final blogpost in our three part series on Enterprise Dataflow Management and it’s applicability in Financial Services. This post discusses common business drivers and usecases to a…
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A Brief (and highly simplified) History of Banking Data – Financial Services organizations are unique in their possessing the most diverse set of data for any industry vertical. Corporate IT organizations…
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(Image Credit – rappler.com) The first in this two post series examines Facebook’s corporate philosophy in architecting systems for web scale. Part two will look at their technology stack in more depth. Last…
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CloudFinTechOpinionPaaS
Financial Services IT begins to converge towards Software Defined Datacenters..
Previous posts in this blog have commented on the financial services industry as increasingly undergoing a gradual makeover if not outright transformation – both from a business and IT perspective.…
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One of the questions I get a lot from clients is “We do not have massive sizes of data to justify incorporating Hadoop into our legacy business application(s) or application…
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OpenStack is a project & technology that is close to my heart. While at Red Hat, I spent a lot of time working with early adopter customers across financial services,…
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The term ‘Data In Motion’ is widely used to represent the speed at which large volumes of data are moving into corporate applications in a broad range of industries. Big…
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