Data Warehouse Lab Work 11
Created|Updated|Lab Work
|Word Count:39|Reading Time:1mins|Post Views:
Final Project Practicum III
In this practicum, students are required to perform data cleansing on the given dataset as the first step of the Final Project Practicum. Below is the module along with the dataset.
Module
Dataset
Author: Azhar Rizki Zulma
Copyright Notice: All articles on this blog are licensed under CC BY-NC-SA 4.0 unless otherwise stated.
Related Articles

2022-06-13
Data Warehouse Lab Work 10
Final Project Practicum IIIn this practicum, students are required to perform data cleansing on the given dataset as the first step of the Final Project Practicum. Below is the module along with the dataset. ModuleDownload Module 10 DatasetDownload Dataset

2022-05-19
Data Warehouse Lab Work 6
Merge DataMerge Data or Data Merging is the process of combining two or more sets of data into a single data set. This process is necessary when you want to analyze or process large amounts of raw data that are stored separately in various types of files, worksheets, or data tables. Before analysis, the data needs to be merged to facilitate and expedite the analysis or data processing. ModuleDownload Module 6 DatasetDownload Dataset

2022-05-30
Data Warehouse Lab Work 8
Preparation for Final Project IIExercises before working on the final project for the Data Warehouse course. ModuleDownload Module 8

2022-04-18
Data Warehouse Lab Work 5
Connected to MySQLMySQL is a multi-threaded, multi-user SQL database management system (DBMS) software with around 6 million installations worldwide. Pentaho Spoon itself supports importing and exporting data through DBMS, and one of the supported DBMS is MySQL. In this lab, you are required to connect MySQL with Pentaho Spoon. Below are the datasets stored in SQL format, and you can also download the work module. ModuleDownload Module 5 DatasetDownload Dataset

2022-03-28
Data Warehouse Lab Work 2
Data InputData input is an action of entering data into a system, where the data can then be stored, manipulated, or processed. Inputting data in Spoon can be done in various formats, and the tools provided in Spoon are quite comprehensive and diverse. Among the data storage formats that can be input are: SQL CSV TXT XML JSON Microsoft Excel Input can be done in an unlimited manner with the data storage formats mentioned above. Besides these formats, there are many other ways, but the most ...

2022-04-04
Data Warehouse Lab Work 3
Output DataOutput Data is the action of storing data from transformation results or data created automatically in Pentaho. In Pentaho Spoon, Output Data can be done in many ways and in any format, but the most commonly used ones are as follows: Database (Directly inputted into the Database) CSV TXT XML JSON Microsoft Excel In this practical, you will learn how to output data in Text and CSV formats because these two formats are the most common for data storage. Database storage will be cove...
Comments

Azhar Rizki Zulma
Zulma's Blog is a personal blog for sharing my thoughts, stories, and ideas.
Follow MeAnnouncement
Yesterday is History, Today is Reality & Tomorrow is a Mystery