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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7371\nMost organizations today are dealing with multiple silos of information. These include cloud and on-premises based transaction processing systems, multiple data warehouses, data marts, reference data management (RDM) systems, master data management (MDM) systems, content management (ECM) systems and more recently Big Data NoSQL platforms such as Hadoop and other NoSQL databases. In addition the number of data sources is increasing dramatically especially from outside the enterprise.  Given this situation it is not surprising that many companies have ended up managing information in silos with different tools being used to prepare and manage data across these systems with varying degrees of governance.  In addition, it is not only IT that is now managing data. Business users are also getting involved with new self-service data wrangling tools.  The question is, is this the only way to manage data? Is there another level that we can get reach to allow us to more easily manage and govern data across an increasingly complex data landscape?  \nThis session explores a new approach getting control of your data that includes participation from IT data architects, business users and IT developers. It looks at creating and organising data in reservoirs and introduces data refineries in an enterprise approach to managing data. It emphasises the need for a common collaborative process and common data services to govern and manage data. In particular it looks at:\nThe ever increasing distributed data landscape\nThe siloed approach to managing and governing data\nIT data integration, self-service data wrangling or both? – data governance or data chaos?\nA new inclusive approach to governing and managing data\nIntroducing the data reservoir and data refinery\nHow does a data reservoir and data refinery work? \nManaging raw and trusted data in a data reservoir\nWhat is involved in the data refining process?\nTechnology components and data services used in a data reservoir and data refinery\nPublicising, capturing, preparing, securing and protecting data in a data reservoir and data refinery\nMapping new data and insights into your shared business vocabulary\nThe mission critical importance of an information catalog in a distributed data landscape\nIntegrating data reservoirs and data refineries into your existing environment
DTSTART:20150330T083000
SUMMARY:AM10: Building An Enterprise Data Reservoir and Data Refinery
DTEND:20150330T114459
LOCATION: See Description
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