Databases Reference
In-Depth Information
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Has IT definitions for metadata related to data structures, data management programs, and
semantic layers within the database.
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Has definitions for semantic layers implemented for business intelligence and analytical applications.
All the technologies used in the processes described above have a database, a user interface for
managing data, rules and definitions, and reports available on the processing of each component and
its associated metrics.
There are many topic and conferences on the subject of data governance and program gover-
nance. We recommend readers peruse the available material for continued reading on implementing
governance for a traditional data warehouse.
1-4
Benefits of information life-cycle management
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Increases process efficiencies.
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Helps enterprises optimize data quality.
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Accelerates ROI.
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Helps reduce the total cost of ownership for data and infrastructure investments.
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Data management strategies help in managing data and holistically improve all the processes,
including:
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Predictable system availability
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Optimized system performance
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Improved reusability of resources
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Improved management of metadata and master data
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Improved systems life-cycle management
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Streamlined operations management of data life cycle
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Legal and compliance requirements
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Metadata life-cycle management
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Master data management
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Optimize spending and costs
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Reduce data-related risks
With the advance of technology and commoditization of infrastructure it has become easier to
implement information life-cycle management processes today than ever before.
Information life-cycle management for Big Data
The advent of Big Data is a boon and a curse to many enterprises. The reason for this sentiment is the
unique set of challenges being brought by Big Data in terms of volume, velocity, and variety of data.
Many enterprises today are planning to implement a Big Data project and designing an information
life-cycle management program to help manage and streamline the Big Data.
1
Ladley, J. (2012). How to Design, Deploy and Sustain an Effective Data Governance Program. Morgan Kaufmann.
2
Soares, S. (2012). Big Data Governance: An Emerging Imperative. MC PressLLC.
3
Orr, J. C. (2011). Data Governance For The Executive. Senna Publishing.
4
Hill, D. G. (2009). Data Protection: Governance, Risk Management, and Compliance. Taylor & Francis Group.
