Data Modeling Public Seminars
Data Modeling Public Seminars
Data Modeling and Data Management in a SOA Environment
Dimensional Modeling
Advanced Data Modeling
Data Modeling and Data Management in a SOA Environment
Tom Haughey
Sept. 15, 2008
Woodbridge Hilton, Woodbridge, NJ
Tuition: $545
SAVE $50 if paid by Aug. 18, 2008
This one day interactive seminar will address the critical issues data and information management professionals encounter in a SOA environment.
- How and why data modeling is different in a SOA environment?
- Does the level of granularity of the data have to be adjusted for SOA?
- Are there issues with data that is too highly abstracted?
- What is a canonical model and why is one needed?
- How important are standards?
- Can data itself be considered a "service" under SOA?
- How does SOA alter data warehousing?
- How can organizations benefit from integrating the data warehouse within SOA?
- Can SOA simplify delivery of business intelligence?
Early Registration Ends Aug. 18, 2008!
Seating is Becoming Limited
Dimensional Modeling-Data Modeling for the Data Warehouse
Tom Haughey
Oct. 20-23, 2008
Courtyard Marriott, Orlando, Florida
Tuition: $1995
for all 4 days includes Advanced Data Warehouse Seminar
Tuition: $1695 for first three days only
Save $100 on three or four day fees if paid by Sept. 17, 2008
This interactive seminar will focus on the specialized techniques used to model data warehouse data. This will include but go beyond dimensional modeling. It provides concrete guidelines and rules for modeling this data.
This seminar emphasizes three fundamental concepts finding the right level of atomic data in the warehouse; that the data warehouse is not a database but an integrated environment consisting of different levels of data; optimizing the data warehouse design through dimensional modeling.
Advanced Data Warehouse & Advanced Dimensional Modeling
Tom Haughey
Oct. 23, 2008
Courtyard Marriott, Orlando, Florida
Tuition: $645 Advanced Data Warehousing and Dimensional Modeling only
The seminar will focus on the most challenging data warehouse design problems the world of data warehousing has faced. You will learn where dimensional model is and is not applicable. Among the requirements to be addressed in modeling the data warehouse are: handling aggregation, heterogeneous product and transaction types, handling time and history, handling changing dimensions, handling changing facts, handling late arriving data, supporting data with different rates of change and stability, supporting large scale database environments such as MPP (massively parallel processing).
Advanced Data Modeling
Alec Sharp
Nov. 17-19, 2008
Courtyard Marriott, Orlando, Florida
Tuition $1795
Save $100 if paid by Oct.12, 2008
After gaining some practical experience, data modelers encounter situations such as the enforcement of complex business rules, handling recurring patterns, dealing with existing databases or packaged applications, and other issues not covered in introductory data modeling classes. This intense, participative workshop provides approaches for many advanced data modeling situations, as well as techniques for improving communication between data modelers, business analysts, designer/developers, and subject matter experts. The workshop has recently been extensively redesigned to focus on the topics that data modeling professionals have continually rated as the most concrete and useful.
Three main themes will be explored:
- The technical side of data modeling - getting better at modeling difficult, complex siutations
- Developing and using data models in new ways, and in conjunction with other techniques
- The human side of data modeling - improving processes and communication skills
Additional information and the agenda
All DebTech International public seminars offer continuing education and professional development credits
Onsite Seminars
All DebTech public classes can be given onsite at your organizations. For additional information or to view our class listings please visit DebTech International LLC
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THE NEW BUSINESS ANALYST
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