Table Of Contents

  1. Business Intelligence Introduction
    1. The Need
    2. The Need - 2
    3. Roadmap
    4. Balanced scorecard and Key Performance Indicators
  2. Statistics for Business Intelligence- Theory
    1. Introduction
    2. Descriptive Statistics
    3. Shape
    4. Distribution
    5. Sampling
    6. Inferential Statistics
    7. Hypothesis Testing
    8. Inference for two populations
    9. ANOVA
    10. Chi-Square Tests
    11. Simple Regression
    12. Multiple Regression
    13. Multiple Regression Model Building
    14. Non parametric statistics
  3. Statistics for Business Intelligence- Implementation
    1. T-test, F-test and p-value
    2. Use of Statistics- Practical considerations
    3. Statistics-Examples
    4. Design Of Experiments - Introduction
    5. Examples using R- Comparing two conditions
    6. Examples using R- Analysis of Variance
  4. Oracle Business Intelligence Enterprise Edition (OBIEE)
    1. OBIEE - Introduction
    2. OBIEE - Creating a MySql Datasource
    3. OBIEE - Creating an OBIEE repository and importing a physical schema
    4. OBIEE - Creating logical model and presentation catalog
    5. OBIEE - Creating Hierarchy and drill down table
    6. OBIEE - Using a Column Selector for additional Drill down
    7. OBIEE - Creating a Rank measure
    8. OBIEE - Managing Cache
    9. OBIEE - Creating and Using dynamic repository variable
    10. OBIEE - Session variables and row level security
    11. OBIEE - Configuring the publisher/scheduler for MySql
  5. R
    1. R and Java - JRI using eclipse
    2. R and Java - JRI using eclipse on 64 bit machines
    3. R and Java - JRI using Netbeans
    4. R - Tutorial I (Basics and Vectors)
  6. Data Management
    1. Introduction to Data warehouse
    2. Dimensional Modeling

Friday, July 9, 2010

OBIEE - Managing Cache

Caching can be used for queries that are run repeatedly. Look at this blog to understand how to enable and configure caching. In this post we will look at pre-caching a query. Lets look at the foodmart catalog that we created in the earlier post

We will pre-cache the result of this report
Steps
1. Create a text file to purge all cache and then create a new cache from the Sales presentation table. Lets call the file SalesCache.txt. The contents of the file are
Call SAPurgeAllCache();
select SALES.* from foodmart;

The first line purges all cache and the second line creates the cache for all columns of the Sales table.

2. run this command from the command line
nqcmd -d FoodMartBI -u Administrator -p [password] -s [pathToCacheFile]/SalesCache.txt

3. Open the Administrator tool. click on Manage-> Cache. The cache created is visible

4. Create a new report using answers

View the results of the report. Since the report has columns that are part of the cache, the results should have been obtained from the cache. To verify, open the Cache management dialog again and look at the last used timestamp of the cache that we have created. The timestamp should have been updated with the time when the new report was viewed.

Also the 'Use count' number will be incremented by one.

Next, let us see how to disable caching for a physical table. Lets disable caching for the sales_fact_1997 table. right click on the table in the physical layer and go to the general tab. unselect the checkbox that says 'cacheable'. now run the SalesCache.txt file again. Open the cache manager. Notice that no cache is created.

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