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Data Warehouse Lab Work 7

Created2022-05-23|Updated2022-05-23|Lab Work
|Word Count:21|Reading Time:1mins|Post Views:

Preparation for Final Project I

Exercises before working on the final project for the Data Warehouse course.

Module

Download Module 7

Dataset

Download Dataset

Author: Azhar Rizki Zulma
Link: https://blog.zulma.id/posts/Data-Warehouse-Lab-Work-7/
Copyright Notice: All articles on this blog are licensed under CC BY-NC-SA 4.0 unless otherwise stated.
TrisaktiSubjectData Warehouse
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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
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Information Technology Project Management Lab Work 9
Resource GraphResource Graph is a feature in Microsoft Project that functions to visualize the daily resource usage in a bar chart. It can also indicate resource overloads. In addition to viewing resource usage, its other function is to analyze the resources used in project management. Resource Graph is a facility provided to display reports in a graphical form, similar to other worksheets in Microsoft Project.Resource Graph has several display branches, including those provided by Microsoft ...
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Final Project Practicum IData CleansingData Cleansing is a process of detecting and correcting (or removing) corrupt or inaccurate data sets, tables, and databases. Inaccurate data includes empty data that has no value or contains NULL/NaN values. The goal of data cleansing is to ensure that when the data is processed later, there will be no errors resulting from incomplete or missing data. In this practicum, students are required to perform data cleansing on the given dataset as the first st...
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Final Project Practicum IIIIn 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 11 DatasetDownload Dataset
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Structured TransformationStructured transformation is the systematic and structured conversion of the original data measurement scale into another form, making it easier to analyze variability in the data. The expected output is also in the form of cleaner and more structured data. In today’s practical session, we will perform a simple data transformation by combining header data with content data separately and changing the data format from CSV to Microsoft Excel format. You can download the...
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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 ...
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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

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Azhar Rizki Zulma
Zulma's Blog is a personal blog for sharing my thoughts, stories, and ideas.
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Contents
  1. 1. Preparation for Final Project I
  2. 2. Module
  3. 3. Dataset
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