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When will DaaS get its big break?

Dataconomy

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA).

SOA 67
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25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

CTOvision

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Evaluating Commercial Cloud Services for Government – A Progress Report.

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Join Architects, Planners, Program Managers, Data Scientists at 4th Annual Cloudera Federal Forum in DC 25 Feb

CTOvision

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Evaluating Commercial Cloud Services for Government – A Progress Report.

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The Amazon.com 2010 Shareholder Letter Focusses on Technology.

All Things Distributed

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. Amazon DynamoDB â??

SOA 151
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IBM Cognos: Established Business Intelligence Player

CTOvision

This support enables interoperability with leading commercial Hadoop offerings, such as IBM InfoSphere® BigInsights™, Cloudera, Apache, Hortonworks, and Amazon Web Services Elastic Map-Reduce, along with popular analytic data stores, including IBM DB2® BLU and SAP HANA. The Cognos platform supports Big SQL, Apache Hive, ODBC and JDBC.