Data Integration Blueprint and Modeling: Techniques for a by Anthony David Giordano

By Anthony David Giordano

Making facts Integration paintings: the best way to Systematically lessen fee, enhance caliber, and improve Effectiveness

Today’s corporations are making an investment gigantic assets in information integration. Many own millions of point-to-point info integration functions which are expensive, undocumented, and tough to keep up. info integration now bills for a massive a part of the cost and hazard of normal information warehousing and company intelligence projects--and, as companies more and more depend on analytics, the necessity for a blueprint for information integration is expanding now greater than ever.

This ebook provides the answer: a transparent, constant method of defining, designing, and development information integration elements to minimize price, simplify administration, increase caliber, and enhance effectiveness. major IBM info administration professional Tony Giordano brings jointly top practices for structure, layout, and method, and indicates find out how to do the disciplined paintings of having info integration right.

Mr. Giordano starts with an summary of the “patterns” of knowledge integration, displaying how one can construct blueprints that easily deal with either operational and analytic information integration. subsequent, he walks throughout the complete undertaking lifecycle, explaining each one part, job, activity, and deliverable via an entire case research. eventually, he indicates easy methods to combine information integration with different info administration disciplines, from facts governance to metadata. The book’s appendices assemble key rules, specific types, and a whole information integration glossary.

Coverage includes
Implementing repeatable, effective, and well-documented tactics for integrating data
Lowering bills and bettering caliber by means of getting rid of pointless or duplicative facts integrations
Managing the excessive degrees of complexity linked to integrating enterprise and technical data
Using intuitive graphical layout suggestions for more suitable approach and knowledge integration modeling
Building end-to-end information integration functions that collect many complicated info assets

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Question 3. What are the four data integration architectural patterns? End-of-Chapter Questions 17 Question 4. Regardless of data integration purpose (transactional or business intelligence), what are the clear and common functions in each of the patterns? Question 5. For two of the four data integration architectural patterns, provide a rationale of when it is appropriate to use that particular pattern. ” This page intentionally left blank C H A P T E R 2 An Architecture for Data Integration If there is one key chapter in this book to read and internalize, it is this one.

The next sections of this chapter focus on the defined process layers and landing zones of this architecture. Extract/Subscribe Processes “Extract/subscribe” represents a set of processes that captures data, transactional or bulk, structured or unstructured, from various sources and lands it in an initial staging area. It follows the architectural principles of “read once, write many” to ensure that the impact on source systems is minimized, and data lineage is maintained. Much of the excessive cost found in a data integration environment is the redundancy found in the extract/subscribe data integration processes.

24. Transformation Processes Load-Ready Publish Landing Zone Option 1: Straight Move to the Target. Or Load Processes Transactional Database Option 2: Move to the Load-Ready Publish Landing Zone First. 24 Example of a load-ready publish landing zone Data Warehouse 40 Chapter 2 An Architecture for Data Integration If a target can take a direct output from the data integration tool first without storing the data, then storing it in a load-ready staging area might not be required. There are two key areas to consider for load-ready publish: • Sizing—Just as with the clean staging land zone, it is important to determine sizing.

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