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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7369\nA modern enterprise data strategy is critical in the digital age, where depth of operational sophistication and management of scale can be existential problems for growing enterprises. Fundamentally, data should serve the strategic imperatives of a business - those key strategic aspirations that define the future vision for an organization. Big data and data science have great potential for accelerating business, but how do you take it beyond aspirations and into a strategy? How do you reconcile the business opportunity with the sea of possible solutions, and make it fit your needs?\nIn this tutorial, we explain how we work to solve real business challenges with data, and build a platform for the future. \nWhy Have A Data Strategy?\nConnecting Data With Business\nDevising A Data Strategy\nThe Data Value Chain\nNew Technology Potentials\nProject Development Style\n\nWe will also review the options for big data architectures, explaining how the various parts of the Hadoop and big data ecosystem fit together in production to create a data platform supporting batch, interactive and realtime analytical workloads. \nBy tracing the flow of data from source to output, we’ll explore the options and considerations for components, including:\nAcquisition: from internal and external data sources\nIngestion: offline and real-time processing\nStorage\nProviding data services: exposing data to applications\nAnalytics: batch and interactive\nData management: data security, lineage, metadata and quality\n
DTSTART:20150330T083000
SUMMARY:AM1: Developing a Modern Enterprise Data Strategy
DTEND:20150330T114459
LOCATION: See Description
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