In this article, we share Data Warehousing with Mining Techniques DWM 316321 Manual, practicals answer as per the new teaching scheme are given below.
Data Warehousing with Mining Techniques are an essential part of the IT Industries. We hope that students will also find it useful.
It provides a clear description of the practical performance, execution, and working of Data Warehousing with Mining Techniques.
DWM 316321 Manual Answer K Scheme
- Practical No. 1: Install Python along with Scikit-learn, Pandas, Matplotlib, and DBMS.
- Practical No. 2: Implementing the Extraction, Transformation, and Loading (ETL) Process of the Data Warehouse.
- Practical No. 3: Write a Program in Python to Access Specific Data Points, Slice the Cube, and Aggregate Data of a Dataset Along Different Dimensions.
- Practical No. 4: Create Star Schema of 5 Tables (One Fact Table and Four Dimension Tables).
- Practical No. 5: Create Snowflake Schema Using Fact Table, Dimension Tables and Sub-Dimension Table.
- Practical No. 6: Create Fact Constellation Schema of 5 Tables of Student Database.
- Practical No. 7: Write a Program in Python to Perform Slice and Dice Operations of OLAP.
- Practical No. 8: Write a Program in Python to Perform Drill-down and Roll-up Operations of OLAP.
- More practicals will be added soon.
Conclusion
All Data Warehousing with Mining Techniques related practicals are solved and listed under this article for the information technology branch.
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