Hadoop is more used for Massive Parallel processing MPP architecture.
new MPP platform which can scaleout to petabyte database hadoop which is open source community(around apache, vendor agnostic framework in MPP), can help in faster precessing of heavy loads. Mapreduce can be used for further customisation.
hadoop can help roles CTO : log analysis of huge data of suppose application logging millions of transaction data .
CMO: targetted offering from social data, target advertisements and customer offerings.
CFO : on using predictive analytics to find toxicity of Loan or mortage from social data of prespects.
As datawarehousing and BI in Technology driven Company people report to CTO only.But it getting pervasive..so user load in BI System increase leading to efficient processing through system like hadoop of social data.
hadoop can help in near realtime analysis of customer like customer click stream real-time analysis,(realtime changing customer interest can be checked over portal ).
Can bring paradigm shift in Next generation enterprise EDW,SOA(hadoop). Mapreduce in data virtualitzation.In cloud we have (platform,Infrastructure,software).
mahout : Framework for machine learning for analyzing huge data and predictive analytic on it. Open source framework support for Mapreduce.Real time analytic helps in figuring trend very early from customer perspective hence adoption level should be high in customer Relationship management modules so it growth of Salesforce.com depicts.
HDFS: is suited for batch processing.
HBase: for but near realtime
casendra : optimized real tim e distributed environment.
Hr Analytics: There are high degree of silos: cycle through lots survey data :–> prepare report –> generalized problem –> find solutions for generalized data . Data from perspective of application, application as perspective of data.
BI help us in getting single version of truth about structure data but unstructured data is where Hadoop helps. Hadoop can process: (structureed,un-structured, timeline etc..across enteripse) data.from service oriented Architeture we need to move from SOA towards SOBA Service oriented business Architecture.SOBAs are applications composed of services in a declarative manner .The SOA Programming Model specifications include the Service Component Architecture (SCA) to simplify the development of creating business services and Service Data Objects (SDO) for accessing data residing in multiple locations and formats.Moving towards data driven application architectures.Rather than application arranged around data have to otherwise application arranged around data.
Architect view point: 1. people and process as overlay of technology. Expose data trough service oriented data access. Hadoop helps in processing power in MDM, quality, integrating data outside enterprise.
utility Industry:Is the first industry to adopt Cloud services with smart metering. Which can give smart input to user about load in network rather then calling services provider user is self aware..Its like Oracle brought this concept of Self service applications.
I am going to refine matter further put some more example and ilustrations if time permits..
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