Hadoop its relation to new Architecture, Enterprise datawarehouse.

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.

datawarehousing and BI we 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..

43 Comments

  1. Pingback: Strategies For Software Services/product Companies next decade | sandyclassic

  2. Pingback: Approach to Best collaboration Management system | sandyclassic

  3. Pingback: Internet of things | sandyclassic

  4. Pingback: Architecture Difference between SAP Business Objects and IBM Cognos part1 | sandyclassic

  5. Pingback: A day in Life of Business Intelligence Engineer | sandyclassic

  6. Pingback: A Day in Life of Business Intelligence (BI) Architect- part 1 | sandyclassic

  7. Pingback: Coke Vs Pepsi of :Datawarehousing ETL Vs ELT | sandyclassic

  8. Pingback: A day in life of datawarehouse Consultant | sandyclassic

  9. Pingback: A day in Life of ETL Consultant | sandyclassic

  10. Pingback: Internet of things New Paradigm Shift in Computing | InternetOfThingsView

  11. Pingback: Internet of things New Paradigm Shift in Computing | Business Architect View

  12. Pingback: Architecture Difference between SAP Business Objects and IBM Cognos part1 | Business Architect View

  13. Pingback: A Day in Life of Business Intelligence (BI) Architect- part 1 | sandyclassic

  14. Pingback: Approach to Best collaboration Management system | sandyclassic

  15. Pingback: Architecture Difference between SAP Business Objects and IBM Cognos part1 | Business Intelligence Technology Trends

  16. Pingback: BI and Enterprise service Bus ESB, BPM orchestration and Process Re-engineering | Business Intelligence Technology Trends

  17. Pingback: A Day in Life of Business Intelligence (BI) Architect- part 1 | Business Intelligence Technology Trends

  18. Pingback: A day in Life of ETL Consultant | Business Intelligence Technology Trends

  19. Pingback: A day in life of datawarehouse Consultant | Business Intelligence Technology Trends

  20. Pingback: A day in Life of ETL Consultant | Datawarehouse View

  21. Pingback: Coke Vs Pepsi of :Datawarehousing ETL Vs ELT | Datawarehouse View

  22. Pingback: A day in life of datawarehouse Consultant | Datawarehouse View

  23. Pingback: A Day in Life of Business Intelligence (BI) Architect- part 1 | Datawarehouse View

  24. Pingback: A day in Life of Business Intelligence Engineer | Datawarehouse View

  25. Pingback: Approach to Best collaboration Management system | Java Architect's View

  26. Pingback: Internet of things New Paradigm Shift in Computing | Java Architect's View

  27. Pingback: Strategies For Software Services/product Companies next decade | Java Architect's View

  28. Pingback: Enterprise Service Bus ESB in Architecture of SAP Business Objects and IBM Cognos | Java Architect's View

  29. Pingback: Strategies For Software Services/product Companies next decade | Business Strategy View

  30. Pingback: Internet of things New Paradigm Shift in Computing | Product Management View

  31. Pingback: Strategies For Software Services/product Companies next decade | Product Management View

  32. Pingback: Product Architecture Difference between SAP Business Objects and IBM Cognos part1 | Product Management View

  33. Pingback: Product development strategy for collaboration Management system | Product Management View

  34. Pingback: Strategies For Software Services/product Companies next decade | Project Manager's View

  35. Pingback: Internet of things New Paradigm Shift in Computing | TheIotView

  36. Pingback: Use Case: Big data Analytics: Cisco,Machine to Machine,image processing,economics | Trends from Data Science

  37. Pingback: Collaboration Management System relation to Analytics and data Science | Trends from Data Science

  38. Pingback: Architecting analysis of Structured and unstructured data | sandyclassic

  39. Pingback: Data war noSQL vs SQL vs NewSQL | Datawarehouse View

  40. Pingback: Data war SQL vs noSQL vs newSQL | Data Architect View

  41. Pingback: CLoud war: SQL vs noSQL vs newSQL | The Cloud View

  42. Pingback: Cloud BI/DW war : SQL vs noSQL vs newSQL | Business Intelligence Technology Trends

  43. Pingback: RDBMS war: SQL vs noSQL vs newSQL | sandyclassic

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s