DB2 OLAP Server V8.1 : using advanced functions
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Chapter 7. Administration Services. Additional enhancements. Part 5. Appendix A. Appendix B. Enterprise Services sample programs.
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Java and all Java-based trademarks and logos are trademarks or registered trademarks of Sun Microsystems, Inc. We discuss the new advanced functions in the areas of scalability, analytics, performance, high concurrency, high availability, and administrative functions, and explain how DB2 OLAP Server V8. This book positions the new advanced analytics, enterprise and administration functions, and other features, so you can understand and evaluate their applicability in your own enterprise environment. It provides information and examples to help you to get started prioritizing and implementing the new advanced functions.
She has three years of experience in Business Intelligence support and services. He holds a Masters degree in Information Science and has 6 years of experience in architecting, building, and implementing Business Intelligence solutions. His experience as a project manager has given him an in-depth view of challenges facing the deployment of Business Intelligence solutions.
He has worked at IBM for 2. His areas of expertise include data warehousing, OLAP solutions and front-end applications. He works for Nordea, which is one of the largest financial companies in the Nordics including Denmark, Sweden Norway, Finland, and the Baltics. Ulrich has more than 20 years of experience in the Business Intelligence and Data Warehouse field, and has worked extensively in this area.
He holds a degree in Life Insurance, and has been working in banking and insurance throughout his career. Jo Ramos has 15 years of experience in Information Technology and practical experience in implementing Data Management and Business Intelligence solutions. She has 4 years of experience in developing Business Intelligence solutions in a wide range of companies for Argentina, Paraguay and Uruguay.
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Furthermore, we discuss an environment that is as near real life as possible — a banking case study that has been used throughout the book. In this chapter we present an overview of these new features and enhancements, which we then detail in the remainder of the book. Hybrid Analysis can retrieve data from a relational database as if the data physically resides on the cube storage.
If you have applications that analyze very large volumes of data, only a smaller physical cube needs to be loaded and precalculated in DB2 OLAP Server while the lower, more detailed level of data can be accessed dynamically at execution time. This avoids taking a long time to load and calculate the multidimensional database, and allows you to use the efficiency of mass data scalability that the relational databases offer. One of the most important issue will be to design the database and define how much aggregation is done dynamically in the database. Integration Server is required for data description tasks of Hybrid Analysis.
It is used to build Hybrid Analysis outline and Hybrid Analysis cubes. The information about the Hybrid Analysis portion of a cube is kept in the Integration Server metaoutline and used at query time. Hybrid Analysis Manager. OLAP databases can often hold so much data that it is impossible to search all areas of the cube for useful information. OLAP Miner helps with this data exploration problem using a data mining algorithm developed at IBM Laboratory to search cubes for extraordinary values or deviations. A deviation is defined as a value in the cube that differs significantly from its expected value.
A value in a cell is a deviation if it significantly varies from the expected value, calculated by the OLAP Miner algorithm. The algorithm calculates the expected value of a cell based on the context of the cell's position in the cube, and the algorithm combines contributions from all dimensions to which the cell belongs. OLAP Miner lists deviations, presents various views of each deviation, and quantifies how big the difference is between the expected value and the actual value magnitude.
OLAP Miner lists the deviations in the order of their importance. OLAP Miner provides a graphical interface to help when creating deviation detection definitions and to display the results of these definitions Table Windows NT v4.
DB2 OLAP Server V8.1
Enterprise Services allows you to cluster OLAP Servers and balance their workload, as well as to provide connection pooling and high concurrency and to support the OLAP Server failover and develop high availability scenarios. These databases can be in multiple machines and the Enterprise Services serves users applications as one logical unit.
As the user community grows or becomes more active, the administrator can simply add more DB2 OLAP Server databases to the cluster to improve response time.
- Using Advanced Functions!
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Combining these two functions provides a high availability environment. Through the use of clustering, if a failure occurs on a database or on an OLAP Server in the cluster, the system will be able to continue processing requests using the other databases in the cluster. A new priced feature, High Concurrency Option, is required for cube clustering that is itself required for workload balancing and failover capabilities. This improves system performance and throughput, reducing batch window when building cubes.
In a serial calculation see Figure all steps run on a single thread. Each task is completed before next is started. Serial Calculation Calculate process waiting task5 waiting task4. Only 1 Thread waiting task3 waiting task2. Operating System executing: task1. If you enable parallel calculation see Figure , the OLAP engine analyzes all the tasks for a calculation pass and breaks them down into tasks that can run independently of each other. DB2 OLAP Server passes the tasks that are ready to be executed to the operating system using multiple threads simultaneously on up to four threads.
Calculate process. Threa d1 re a. If DB2 OLAP Server determines that parallel calculation does not improve performance or if the formulas have complex interdependencies cannot break them in subtasks to run independently , the DB2 OLAP Server executes the calculation process in single mode, even if the parallel load is enabled.
You can enable the parallel calculation at the server level, application level, or database level. DB2 OLAP Server analyzes each pass of a calculation to determine whether parallel calculation would optimize the calculation. You can define how many threads you can run for preparation steps and how many threads you can run for write steps.
For example, in Figure we are using three threads for the preparation step and two threads for the write step. Input stage Portion of data. Preparation data stage organized. In Figure , the database e-bank is exported using two threads. Two output files are generated.
Output Output file1 file1.