Authors:
Vidyasagar Uddagiri
;
Amarendra Mohanty
and
Biswaranjan Jena
Affiliation:
Tata Consultancy Services Limited, India
Keyword(s):
Information Lifecycle Management, Application Retirement, Data Archival, Re-archival.
Related
Ontology
Subjects/Areas/Topics:
Agile Methodologies
;
Case Studies
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Information Systems Analysis and Specification
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Project Planning, Monitoring and Control
;
Scheduling and Estimating
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software Engineering
;
Software Project Management
Abstract:
The prolific expansion of business operations globally, multi-channel operations and many such newer paradigms are driving voluminous growth for many businesses. This is resulting in tremendous data volume growth within supporting IT systems. Increased need for fact driven decision making and regulatory compliance requirements needs is driving the need for retention and storage of historical data for longer duration. Historical data being referred occasionally does not warrant storage using expensive database systems unlike transactional data. Information Lifecycle Management (ILM) is an emerging discipline within Information Technology that addresses this problem. Data Archival is a concept within ILM used to retain necessary data for reference by live applications, while preserving historical data. The challenges faced during the execution of a Data Archival project by a Fortune 500 organization, the methodology formulated and implemented to work-around the challenges are described
in this case.
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