Database Design and Operational Business Intelligence

Instructor: Edureka

Access provided by The Chinese University of Hong Kong

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand the fundamentals of MS SQL Server and relational database design.
Create and manage functions, views, and database objects for real-world use cases.
Integrate and connect SQL Server with Power BI for reporting and analytics.
Apply learned skills to solve business intelligence challenges with hands-on scenarios.

Skills you'll gain

Details to know

Shareable certificate

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Assessments

28 assignments

Taught in English

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There are 4 modules in this course

Learn how to design scalable databases and integrate them with Power BI for impactful business intelligence. This course on Database Design and Operational Business Intelligence is designed to help you master the principles of relational database design, normalization, and schema optimization. You'll gain hands-on experience managing complex datasets and structuring databases that align with real-world business needs.

Throughout this course, you'll delve into how Power BI and MS SQL Server are applied within specific industries. By the end of this course, you will be able to: 1. Compose different data models by re-structuring the data 2. Interpreting Data models 3. Create dashboards and Publish them on Service 4. Demonstrate machine learning and advanced features in Power BI Service 5. Analyze the scorecard and results from the binary prediction model 6. Implement best practices for visualization This long course is designed for Data Analyst, Data Engineer, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills. Prior experience with MS Excel and RDBMS is beneficial but not mandatory for this course. Join us on this journey to enhance your Power BI and MS SQL Server skills and elevate your analytical and design capabilities.

Welcome to Database Design and Operational Business Intelligence. In this module, we will understand the capabilities of MS SQL Server. Learn to model data with the help of ER diagrams to get a holistic view of the database that is to be designed in MS SQL Server. Improve data integrity by reducing redundancy while ensuring efficient database management by handling data with the help of SQL commands.

What's included

32 videos6 readings11 assignments6 discussion prompts1 plugin

32 videosTotal 111 minutes

Course Introduction2 minutes
What is SQL3 minutes
Introduction to MS SQL Server6 minutes
Installation of MS SQL Server2 minutes
MS SQL Server Interface - I6 minutes
MS SQL Server Interface - II5 minutes
Data Modeling: ER Diagram - I2 minutes
Data Modeling: ER Diagram - II3 minutes
Cardinality in ER Diagram2 minutes
Degree of Relationships3 minutes
Relationships in Database Modeling4 minutes
Complexity of Entity Relationships3 minutes
Operation on Keys3 minutes
Normalization3 minutes
Types of Normalization 1 NF2 minutes
Types of Normalization 2 NF1 minute
Types of Normalization 3 NF2 minutes
Types of Normalization 4 NF0 minutes
Types of Normalization 5 NF3 minutes
DDL Commands4 minutes
DQL Commands4 minutes
DML Commands2 minutes
DCL Commands5 minutes
TCL Comands3 minutes
Merge Statement4 minutes
Alter Statement2 minutes
Join Part-I5 minutes
Join Part-II2 minutes
Join Part-III4 minutes
Join Part-IV4 minutes
Join Part-V3 minutes
Summary of MS SQL Server1 minute

6 readingsTotal 12 minutes

Welcome to Database Design and Operational Business Intelligence2 minutes
Introduction to Microsoft SQL Server2 minutes
ER Modeling Sessions in Database Design2 minutes
Understanding Database Keys and Normalization2 minutes
SQL Commands and Statements2 minutes
Understanding Joins in Databases2 minutes

11 assignmentsTotal 55 minutes

End Lesson Quiz: MS SQL Server5 minutes
End Lesson Quiz: ER Modeling in MS SQL Server5 minutes
End Lesson Quiz: Data Normalization5 minutes
End Lesson Quiz: SQL Commands5 minutes
End Lesson Quiz: Joins in Database5 minutes
End Module Quiz: MS-SQL Server20 minutes
MS SQL Server2 minutes
ER Modeling in MS SQL Server2 minutes
Data Normalization2 minutes
SQL Commands2 minutes
Joins in Database2 minutes

6 discussion promptsTotal 12 minutes

Components of SQL2 minutes
Introduce Yourself2 minutes
ER modeling Approaches2 minutes
Normalize Database2 minutes
Aggregate functions2 minutes
Join Performance2 minutes

1 pluginTotal 15 minutes

Your Baseline Knowledge Check15 minutes

In the second week of this course, Learn to use built-in functions in SQL Server to simplify functions that can be used for faster data processing. Harnessing the abilities of T-SQL to interact with and manage relational databases in various ways.

What's included

18 videos4 readings9 assignments2 discussion prompts

18 videosTotal 55 minutes

What is T-SQL?2 minutes
Aggregate Functions2 minutes
Convenient Aggregate Functions MAX() and AVG()2 minutes
Convenient Aggregate Functions MIN() and SUM()2 minutes
Statistical Aggregate Functions3 minutes
User Defined Aggregate Functions1 minute
Convenient Aggregate Functions – COUNT() and COUNT_BIG()2 minutes
Querying using Built-in Functions5 minutes
Composing T-SQL3 minutes
Introduction to Sub-Queries4 minutes
SQL Server Views - I2 minutes
SQL Server Views - II2 minutes
Case Expressions2 minutes
Stored Procedures2 minutes
Operating Views7 minutes
Implementing Stored Procedures3 minutes
Executing Stored Procedures4 minutes
Summary of Working with Advanced SQL0 minutes

4 readingsTotal 8 minutes

Exploring Built-in Functions and T-SQL2 minutes
Understanding SQL Commands2 minutes
Understanding Queries and Views in Databases2 minutes
Exploring Views and Subqueries in Databases2 minutes

9 assignmentsTotal 48 minutes

End Lesson Quiz: Built-in Functions and T-SQL5 minutes
End Lesson Quiz: Composing T-SQL5 minutes
End Lesson Quiz: Queries and Views5 minutes
End Lesson Quiz: Views and Subqueries5 minutes
End Module Quiz: Functions and Views20 minutes
Built-in Functions and T-SQL2 minutes
Composing T-SQL2 minutes
Queries and Views2 minutes
Views and Subqueries2 minutes

2 discussion promptsTotal 4 minutes

Creative Approaches2 minutes
Conditional Logic2 minutes

In the third week of this course, Apply concepts of data management to prepare a dataset which is suitable for data visualization. Establish a stable connection with Power BI to transfer data from MS SQL Server to Power BI and visualize the data to display hidden insights.

What's included

16 videos3 readings7 assignments3 discussion prompts

16 videosTotal 51 minutes

Applications of Power BI2 minutes
Working with Power BI5 minutes
Installation of Power BI Desktop and Service5 minutes
Creating Database4 minutes
Building Tables1 minute
Inserting Data1 minute
Connecting to Power BI4 minutes
Creating Reports2 minutes
Publishing Reports2 minutes
Managing Gateways1 minute
Refresh gateway3 minutes
Phases for Optimal Visuals5 minutes
Chart Types and Elements3 minutes
Common Refining Techniques3 minutes
Visual Perception of Variation3 minutes
Summary of Data Connectivity with Power BI0 minutes

3 readingsTotal 6 minutes

Features of Power BI2 minutes
Understanding Data Preprocessing2 minutes
Exploring the Data2 minutes

7 assignmentsTotal 41 minutes

End Lesson Quiz: Introduction to Power BI5 minutes
End Lesson Quiz: Data Preprocessing5 minutes
End Lesson Quiz: Best Practices for Visualization5 minutes
End Module Quiz: Data Connectivity-Power BI20 minutes
Introduction to Power BI2 minutes
Data Preprocessing2 minutes
Exploring the Data2 minutes

3 discussion promptsTotal 6 minutes

Connecting to Data Sources2 minutes
Categorical Variables2 minutes
Exploratory Data2 minutes

This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.