vmWorld vFabric:Increase Agility,Reduce Time to Market

vmWorld vFabric:Increase Agility,Reduce Time to Market

The objective of any business is provide value in any form. The business needs to host a application and process data to accomplish this task. The enterprise world is made up of many programs written in different languages and accessing several data bases. The management of the data is termed as Master Data Management and the Applications are managed by a application server. Enterprise applications are mostly developed based on J2EE and .NET framework/specifications.

The Data Access Object Layer, O/R Mapping Layer and Persistence Domain Object layer are formed for the purpose of processing data. Spring Framework has simplified the DAO layer and abstracted the complexities to a great extent.

Motivations and spring features:

JDBC support abstraction - connection to the database driver

SQL exception handling - more meaningful messages

SQL based wrappers -abstraction

JDBC has its own advantages.

SQL support

Database Cross connections

Java code or the line of business service uses the SQL, O/R mapping for data insertion, update and deletion.

Data model has to be created and mapped to the object model - abstraction accomplished by the MappingSQL class.

Object model has to be converted to the data model for inserting into the database. There is a conversion code for object model to the data model and vice-versa in the line of business service.

The data is processed - data is read from a source as per the requirement / regulation and stored in data base, the process can be captured as following:

Data Quality Management

Data Validation & Cleansing

Profiling

Reconciliation Matching

Cross Reference

Life Cycle Management

Granularity/Authoring

Master Data Schema

Hierarchy

Attributes

Views

Interfaces

Web Services

XML

Import / Export service

Data Standardization

Base Services

Security

Logging

Work Flow

search

Master Data repository

Metadata

Transactional Data

Master Data

Historical data

Master Data Harmonization Integration

Relationship Management

Knowledge and Insight

Event Management

Critical Data Management

Notification Services

The services offered by tools in the form of Master data management services and the SOA based line of business service seem to overlap to a significant extent. the data management services comprising of the data quality management services,life-cycle management services can be used to create quality data.

Also the data model and the object model can be converged to reduce the complexity that comes with the SQL based implementation. There is a lot of scope for XML based implementation to reduce the complexity involved. Data-model and the object model can be converged and replaced with the XML based implementation.

There is huge requirement of different tools to accomplish a few simple but valuable things.Developers are required to have understanding of different tools. The data management is yet to be regulated to the required standards.

There is great scope for transformation to merge the activities of the DAO, O/R mapping and PDO layers and there is scope for convergence between the MDM service with the merged entity.

Scope to free the java code from the SQL O/R mapping complexities, free any line-of-business service from all the requirements related to Data Management, O/R mapping and reduce the complexity,increase the maintainability, efficiency,decrease the cost.

Out source the data management to the cloud??

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‎09-29-2010 12:16 AM
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