Résumé
The definitive best-practices guide to enterprise data-management strategy.
You can no longer manage enterprise data "piecemeal." To maximize the business value of your data assets, you must define a coherent, enterprise-wide data strategy that reflects all the ways you capture, store, manage, and use information.
In this book, three renowned data management experts walk you through creating the optimal data strategy for your organization. Using their proven techniques, you can reduce hardware and maintenance costs, and rein in out-of-control data spending. You can build new systems with less risk, higher quality, and improve data access. Best of all, you can learn how to integrate new applications that support your key business objectives.
Drawing on real enterprise case studies and proven best practices, the author team covers everything from goal-setting through managing security and performance. You'll learn how to:
- Identify the real risks and bottlenecks you face in delivering data-and the right solutions
- Integrate enterprise data and improve its quality, so it can be used more widely and effectively
- Systematically secure enterprise data and protect customer privacy
- Model data more effectively and take full advantage of metadata
- Choose the DBMS and data storage products that fit best into your overall plan
- Smoothly accommodate new Business Intelligence (BI) and unstructured data applications
- Improve the performance of your enterprise database applications
- Revamp your organization to streamline day-to-day data management and reduce cost
- Data Strategy is indispensable for everyone who needs to manage enterprise data more efficiently-from database architects to DBAs, technical staff to senior IT decision-makers.
L'auteur - Sid Adelman
Sid Adelman is founder of Sid Adelman & Associates,
an organization specializing in planning and implementing
data warehouses. He
consults exclusively on data warehouse topics including
assessments, determining requirements, project planning,
establishing roles and
responsibilities, metadata strategy, and organizational
and cultural issues. Sid presents regularly at data
warehouse conferences and
conducts a Data Warehouse Project Management seminar. Sid
is a founding member of the Business Intelligence Alliance.
He jointly
developed a methodology, MapXpert for Data Warehouse TM,
which provides a master plan for implementing data
warehouses.
L'auteur - Larissa T. Moss
Larissa Moss is founder and president of Method Focus
Inc., a consulting firm specializing in improving business
information quality. She frequently lectures and speaks at
conferences on various data management topics, such as data
warehousing, data quality, data modeling,and data audit and
control. Her articles on data warehousing, project
management, data management, and data quality are
regularly
published in magazines such as DM Review. She also provides
consulting services in data warehouse assessments, data
warehouse methodologies, project management, data
administration, data modeling, data quality assessment,
data transformation and cleansing, and metadata capture and
utilization.
Sommaire
- Introduction
- Data Integration
- Data Quality
- Metadata
- Data Modeling
- Organizational Roles and Responsibilities
- Performance
- Security and Privacy of Data
- DBMS Selection
- Business Intelligence
- Strategies for Managing Unstructured Data
- Business Value of Data and ROI
- Appendix A: ROI Calculation Process, Cost Template, and Intangible Benefits Template
- Appendix B: Resources
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Addison Wesley |
| Auteur(s) | Sid Adelman, Larissa T. Moss, Majid Abai |
| Parution | 16/12/2005 |
| Nb. de pages | 384 |
| Format | 17,5 x 23,5 |
| Couverture | Broché |
| Poids | 550g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780321240996 |
| ISBN13 | 978-0-321-24099-6 |
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