Some of these articles do not have a strategic focus. This is ok, as data warehousing has been discussed in our course - the articles on this page are aimed to deepen your understanding of the concepts.
Describe the ASAP methodology (AcceleratedSAP) for SAP BI Projects.
The methodology has the following phases:
Make sure that you only provide a overview (history, current, tools, etc.). Make sure that your fellow students are able to write dedicated articles for the 5 phases (see below).
Describe the Project Preparation phase of the ASAP methodology.
Describe the Business Blueprint phase of the ASAP methodology.
Describe the Realization phase of the ASAP methodology.
Describe the Final Preparation phase of the ASAP methodology.
Describe the Go Live & Support phase of the ASAP methodology.
Describe one of the following topics of Agile Data Warehousing, taken from http://www.agiledata.org/essays/dataWarehousingBestPractices.html:
Describe considerations for the project environment of a BI strategy, including:
see 01011000.pdf
Describe name conventions in detail. see 01011003.pdf
Describe project organization in detail. see 01011004.pdf
Describe considerations for the business requirements analysis of a BI strategy, including:
see 01011000.pdf
Describe considerations for the project implementation of a BI strategy, including:
see 01011000.pdf
Describe considerations for the finalization phase of a BI strategy, including:
see 01011000.pdf
Describe considerations for the system optimization phase of a BI strategy, including:
see 01011000.pdf
There are two different approaches for data warehouse design (the way the dimensions and facts are organized): snow flake design and star schema.
Describe this article from a technical view for users who want to build their own DWH solution. You should have knowledge of database design and SQL.
Describe Multidimensional Expressions, a query language for querying multidimensional data cubes. Give examples for queries and compare it to SQL or other, similar query languages. You can add a glossary entry for sql as well: sql
A dimension often contains master data, for example customer information (phone numbers, addresses, etc), product information, etc. This data is not primary focus of the data analysis performed in data warehouses.
Describe this concept for business users.
A dimension often contains master data, for example customer information (phone numbers, addresses, etc), product information, etc. This data is not primary focus of the data analysis performed in data warehouses.
Describe this concept from a technical perspective for users who are planning to build their own DWH solution. Use terms such as primary key, foreign key, index, etc.
A slowly changing dimension contains data that, as the name says, is slowly changing. For example, customers might change their address every couple of years.
Describe the concept for technical users.
This article focuses on the top-down approach of DWH projects. Similar to the bottom-up article, your target audience are project managers who need to decide which approach to use. Help them by providing them all information to make their decision.
Another approach for DWH projects is the hybrid approach, a combination of top-down and bottom-up methodology. Again, your target audience are project managers who need to decide which approach to use. Help them by providing them all information to make their decision.
Describe the federated approach. Again, your target audience are project managers who need to decide which approach to use. Help them by providing them all information to make their decision.
Describe the following DWH processes:
Try to balance the length of each description.
What is metadata? Describe this DWH concept for business users or participants in a DWH design group.
What is technical metadata? Describe this DWH concept for business users or participants in a DWH design group.
What is business metadata? Describe this DWH concept for business users or participants in a DWH design group.
What is process metadata? Describe this DWH concept for business users or participants in a DWH design group.
What metadata tools are available? Describe this DWH concept for business users or participants in a DWH design group.
Describe one of the following trends, taken from 1). Describe the trend for business users or participants in a DWH design group. Make sure to supply more than the given resource.
Describe the roles and responsiblities of a data warehouse team. Use http://www.information-management.com/infodirect/20011221/4447-1.html as one of your sources, but do a more througout search for your sources.
Describe one of the following trends, taken from 2). Describe the trend for business users or participants in a DWH design group. Make sure to supply more than the given resource.
Describe the virtual ETL approach3)
Describe parallel ETL handling4)
Describe how to handle key in ETL processing5)
Describe a real-life ETL cycle. It could consist of the following steps (from Wikipedia6):
An interesting type of contribution is a (simple) case study. By doing so, you should describe the use of data warehouse technology in your organization (which should be identified in the text):
A case study is only useful if you can clearly identify the organization in this public Wiki (you should obtain permission if you are unsure). The name of the data warehouse vendor is of interest as well. Other than that, you should avoid to identify other organizations (such as consulting companies).
Please contact me before starting to work on this exercise and provide the following information: