Integrating Data on a Shared Hadoop Platform for the Financial Sector

on Jan 12, 2018 2:42:39 PM | By Michael Shaw | Data Lake Financial Services Hadoop
Financial services firms are notorious record-keepers. They have to be—the financial/banking industry is among the most regulated in the nation. Despite the fastidious data-gathering, banks are like most organizations in that their information architecture evolved organically over time and consists of a patchwork of systems and solutions. This approach may have worked for a while, but the piecemeal setup now prevents timely insights, thwarts accurate reporting and hinders financial crime prevention efforts.
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Data Lake Management: 4 Keys to Avoiding a Data Swamp

If you’re responsible for data governance, you’re likely all too familiar with the task of data lake management, as organizations are rapidly transitioning solutions that make your job even more important and complex. 
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insideBigData Interviews CEO Mike Lamble

insideBigData Interviews CEO Mike Lamble InsideBigData interviews CEO Mike Lamble in a recent article published on their website, insideBigData.com. The interview discussion focuses on recent and pressing topics in data management. Mr. Lamble gives his professional opinion on subjects such as next generation data warehousing, data lakes and Hadoop, and data governance.
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Demystifying Hadoop Security

Demystifying Hadoop Security Tripp Smith, Clarity Solution Group CTO, featured on Sandhill.com Excerpt from Sandhill.com: "As Hadoop became more widespread as a centralized data lake or data hub within the enterprise, a variety of open source, vendor-supported and proprietary solutions emerged to meet the needs of security compliance.
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The Aspirational Data Lake Value Proposition (Datanami.com)

on Mar 24, 2015 8:24:09 PM | By Danielle Hilson | Data Lake Hadoop on Wheels
The Aspirational Data Lake Value Proposition (Datanami.com) Tripp Smith, Clarity Solution Group CTO, featured on Datanami.com Excerpt from Datanami.com: “The industry hype around Hadoop and the concept of the Enterprise Data Lake has generated enormous expectations reaching all the way to the executive suite.  Yet, when trying to establish a Modern Data Architecture, organizations are vastly unprepared how to house, analyze and manipulate the massive quantities of data available. All too often, they believe the only requirement is to download the Hadoop software, install it on a bunch of servers, commence loading the Data Lake, unplug the enterprise Data Warehouse (EDW) and voila; the profits will come in faster than the tide in a hurricane.”
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How to Avoid Turning Your Data Lake into a Data Swamp

How to Avoid Turning Your Enterprise Data Lake into a Data Swamp (TDWI.org) Tripp Smith, Clarity Solution Group CTO, featured on TDWI.org Excerpt from TDWI.org:  “As the Hadoop ecosystem has matured and gained increasing traction in mature industries, it is clear that the potential benefits for data management and analytics are staggering.
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The Aspirational Data Lake Value Proposition by Tripp Smith

on Nov 25, 2014 12:54:33 PM | By Teresa Letlow | Data Lake Big Data
"The Aspirational Data Lake Value Proposition" Article by Tripp Smith Is your Data Lake turning into a Swamp? Tripp Smith, Clarity's Big Data Capability Lead authors the article titled, "The Aspirational Data Lake Value Propostion", featured today on datanami.com, that provides industry leading insight into techniques to "deliver on Hadoop's true value proposition".
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