Data Warehousing, Data Mining, and OLAP
Home > Computing and Information Technology > Databases > Data Warehousing, Data Mining, and OLAP
Data Warehousing, Data Mining, and OLAP

Data Warehousing, Data Mining, and OLAP


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Improving data delivery is a top priority in business computing today. This comprehensive, cutting-edge guide can helpÑby showing you how to effectively integrate data mining and other powerful data warehousing technologies. You'll learn how to evaluate various data warehousing solutions (including SMP and MPP, parallel database management systems, metadata, OLAP, etc.) and how to leverage your data warehousing utility via the Internet, client/server computing, and various data mining tools. YouÕll also learn how to compare different data mining technologies and products, and understand how they fit into your overall business and data processes. Intended for IS professionals as well as strategic planners, this fascinating book should serve as the essential reference to the standards, tools, technologiesÑand possibilitiesÑof data warehousing today.

Table of Contents:
Part I: Foundation.Introduction to Data Warehousing.Client/Server Computing Model and Data Warehousing.Parallel Processors and Cluster Systems.Distributed DBMS Implementations.Client/Server RDBMS Solutions.Part II: Data Warehousing.Data Warehousing Components.Building a Data Warehouse.Mapping the Data Warehouse to a Multiprocessor Architecture.DBMS Schemas for Decision Support.Data Extraction, Cleanup, and Transformation Tools.Metadata.Part III: Business Analysis.Reporting and Query Tools and Applications.On-Line Analytical Processing (OLAP).Patterns and Models.Statistics.Artificial Intelligence.Part IV: Data Mining.Introduction to Data Mining.Decision Trees.Neural Networks.Nearest Neighbor and Clustering.Genetic Algorithms.Rule Induction.Selecting and Using the Right Technique.Part V: Data Visualization and Overall Perspective.Data Visualization.Putting It All Together.Appendices: A: Data Visualization.B: Big Data--Better Returns: Leveraging Your Hidden Data Assets to Improve ROI.C: Dr.E.F.Codd's 12 Guidelines for OLAP.D: Mistakes for Data Warehousing Managers to Avoid.

About the Author :
Alex Berson is a Director of Technology for a global management consulting firm. Dr. Berson holds a Ph.D. in Computer Sciences and M.S. in Applied Mathematics, and is an internationally recognized expert, author, educator and practitioner who has over 20 years of experience in information technologies focusing on data warehouse systems architecture, including design and implementation of systems and applications in the areas of data management, data warehousing and data mining; transaction processing; middleware, client/server distributed computing; and object technologies. Alex Berson is an active member of IEEE Computer Society, ACM, and many others. Hes also an advisory editor for the McGraw-Hill Professional Books division. He has published numerous technical articles in trade magazines, and is a best-selling author of a number of professional books including 'Data Warehousing, Data Mining and OLAP'(with Steve Smith); Client/Server Architecture; SYBASE and Client/Server Computing(with George Anderson); and APPC: Introduction to LU6.2. These books are published internationally, and had been translated in many languages including Chinese and Korean. His latest book, Building Data Mining Applications for CRM, is scheduled to be published in December 1999.


Best Sellers


Product Details
  • ISBN-13: 9780070062726
  • Publisher: McGraw-Hill Education - Europe
  • Publisher Imprint: McGraw-Hill Professional
  • Height: 236 mm
  • Returnable: N
  • Weight: 1429 gr
  • ISBN-10: 0070062722
  • Publisher Date: 16 Dec 1997
  • Binding: Hardback
  • Language: English
  • Spine Width: 48 mm
  • Width: 193 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Warehousing, Data Mining, and OLAP
McGraw-Hill Education - Europe -
Data Warehousing, Data Mining, and OLAP
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Warehousing, Data Mining, and OLAP

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!