New PDF release: Business Metadata: Capturing Enterprise Knowledge

By William H. Inmon, Bonnie O'Neil, Lowell Fryman

ISBN-10: 008055220X

ISBN-13: 9780080552200

ISBN-10: 0123737265

ISBN-13: 9780123737267

Humans have a troublesome time speaking, and now have a troublesome time discovering enterprise wisdom within the setting. With the sophistication of seek applied sciences like Google, company humans anticipate with a purpose to get their questions spoke back concerning the company similar to you are able to do a web seek. in truth, wisdom administration is primitive this day, and it's for the reason that we've got terrible company metadata administration. This publication is set all of the basis precious for IT to actually aid the company appropriately. by way of offering not only facts, however the context at the back of the information. For the IT specialist, it will likely be tactically practical--very "how to" and an in depth method of enforcing top practices assisting wisdom administration. And for the the IT or different supervisor who wishes a advisor for developing and justifying tasks, it is going to aid offer a strategic map. * First ebook that is helping companies seize company (human) wisdom and unstructured information, and provide strategies for codifying it to be used in IT and management.* Written through invoice Inmon, one of many fathers of the knowledge warehouse and famous writer, and jam-packed with conflict tales, examples, and circumstances from present projects.* Very functional, features a whole metadata acquisition technique and undertaking plan to lead readers each step of the way.* contains pattern unstructured metadata to be used in self-testing and constructing abilities.

Show description

Read or Download Business Metadata: Capturing Enterprise Knowledge PDF

Similar algorithms and data structures books

Handbook of algorithms and data structures: in Pascal and C by Gaston H. Gonnet, Gaston Gonnet, Ricardo Baeza-Yates, R. PDF

Either this ebook and the previous (smaller) variation have earned their position on my reference shelf. extra brand new than Knuth's 2d version and masking a lot broader territory than (for instance) Samet's D&A of Spatial facts constructions, i have discovered a few algorithms and information constructions during this textual content which have been without delay acceptable to my paintings as a structures programmer.

Download PDF by Jim Ramsay, Giles Hooker: Functional Data Analysis (Springer Series in Statistics)

This can be the second one variation of a hugely capable publication which has bought approximately 3000 copies all over the world given that its e-book in 1997. Many chapters might be rewritten and extended as a result of loads of development in those parts because the book of the 1st version. Bernard Silverman is the writer of 2 different books, each one of which has lifetime revenues of greater than 4000 copies.

Additional info for Business Metadata: Capturing Enterprise Knowledge

Sample text

4. 5. 6. 7. 35 CHAPTER 2 The Value of Business Metadata Management Introduction This chapter provides an overview of the value of metadata in general and business metadata in particular. Later in the book, we provide more detailed descriptions of many of the value components touched lightly on in this chapter. For instance, one of the values of business metadata is that it helps businesspeople find documents such as policy and procedure manuals. We devote an entire chapter to Search in Chapter 4.

8. 9. 38 Who Is Responsible for Business Metadata? 1 Business Metadata Stewardship Introduction Chapters 1 and 2 have established that business metadata is much broader than, and quite different from, the structured technical metadata that we have historically captured in our technical application implementations. Now that we have presented the definition of business metadata and discussed its value to the enterprise, this chapter will introduce some of the organizational options and challenges for managing business metadata.

This now says that on November 17, 1998, Oracle stock went up 7 dollars on the New York Stock Exchange. Now that we have added more context, we have a very clear view of what is meant by the number 7. Without context, data is raw and is of questionable value. With context we are able to understand what fact in the real world the data pertains to. 1 Library Card Catalog Consider going to a local library. In the library you will find lots of books. How do you find what you are looking for? One way is to start walking up and down the stacks of books, randomly encountering all sorts of books in an order that may be incomprehensible to you.

Download PDF sample

Business Metadata: Capturing Enterprise Knowledge by William H. Inmon, Bonnie O'Neil, Lowell Fryman

by Ronald

Rated 4.51 of 5 – based on 19 votes