Author Archives: Sean Anderson

Sean Anderson

About Sean Anderson

Sean is a tenured infrastructure scaling and cloud strategy consultant with a strong focus on strategic partnerships and innovative hybrid technology. He has been a part of integral shifts in technology including the rise of cloud computing, open source standardization, and big data. Sean quickly became a go-to resource and speaker for data specific workloads focusing on technologies like Hadoop, MongoDB, Redis, Elasticsearch, SQL, and Data Warehousing. At Rackspace Hosting, Sean helped build and launch open-source cloud platforms around Hadoop, MongoDB, Elasticsearch and Redis. Sean is currently marketing manager for IT Solutions at Cloudera; the pioneers of Apache Hadoop.

Bringing Superior Analytic Performance and Security to Fast Data

 (@SeanAndersonBD)
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Categories: Analytic Database Enterprise Data Hub

Analytic database systems are the focus of an evolving conversation aimed at delivering highly performant analytic functionality over vast amounts of varying data types.  Not just structured or unstructured data; but streams of data and time relevant data that stress the limits of conventional data platforms. In addition, the introduction of modern hardware profiles is…

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Data Discovery, Analytics and an Enterprise Data Hub

 (@SeanAndersonBD)
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Categories: Corporate General

In a continuation of his series “An Enterprise Data Hub, The Next Gen Platform” Hired Brain’s analyst Neil Raden returns to discuss the important topic of modern data discovery and analytics architectures.  Business leaders have always struggled with the limitations of perfunctory reporting and limited data integration.  Complex analytical queries often affected performance of operational…

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An Enterprise Data Hub, The Next Gen Platform

 (@SeanAndersonBD)
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Categories: General Open Source Software

Cloudera is proud to host Hired Brains analyst and data systems expert Neil Raden in a series of papers aimed at helping IT professionals understand the opportunities they have to modernize and ultimately optimize their data environments.  Increasingly users are struggling with how to modernize their enterprise data systems amidst the pressures and promises that…

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