Data Warehouse Lab Work 7

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

2022-04-04

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...

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

2022-06-13

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

2022-03-21

Data Warehouse Lab Work 1

Message Box & Data Transformation in SpoonData warehouse is a type of data management system designed to enable and support business intelligence (BI) activities, especially analytics. A data warehouse is solely intended for querying and analysis and often contains a large amount of historical data. Data in the data warehouse typically comes from various sources such as application log files and transactional applications. The data warehouse centralizes and consolidates a large amount of ...

2022-06-20

Data Warehouse Lab Work 12

Final Project Practicum IVIn this practicum, students are required to perform Extract, Transform & Load (ETL) on the provided dataset as part of the final stages of the Practicum Final Project. In the initial process of data analysis, data scientists must follow several basic steps to ensure the accuracy of the output. One of the methods is Extract, Transform, and Load, commonly referred to as ETL. Since its emergence in the 1970s, ETL has drawn the attention of companies for storing thei...