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Designing a Data Warehouse on the Microsoft SQL Server Platform

Ana Voicu

Ever wonder how it's possible to create meaningful reports from data spread over multiple sources? This course explores how to create a data warehouse project that provides answers to the customers’ critical questions regarding their business.

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Ever wonder how it's possible to create meaningful reports from data spread over multiple sources? This course explores how to create a data warehouse project that provides answers to the customers’ critical questions regarding their business.

Data is driving everything and the need to gain insight from data continues to become more abundant. In this course, Designing a Data Warehouse on the Microsoft SQL Server Platform, you’ll gain the ability to design and implement a data warehouse solution with the components provided by SQL Server. First, you’ll discover some of the characteristics of a data warehouse project and how such a project can help your customers to have a better understanding of their business progression. Next, you’ll explore the dimensional modeling design and will learn about each step in this system in more detail. Then, you'll delve into creating a data warehouse database and building an SSIS project to load the data warehouse with information essential for data analysis. Finally, you’ll learn how to create meaningful reports on top of the solution previously created. When you’re finished with this course, you’ll have the skills and knowledge of designing a robust data warehouse on the SQL Server platform needed to create an effective solution that helps your customers by gaining insights from the data accumulated.

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What's inside

Syllabus

Course Overview
Understanding the Fundamental Concepts of a Data Warehouse
Dimension Table Techniques
Creating and Working with Hierarchies
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Implementing Fact Tables
Loading Data in a Data Warehouse
Setting up an ETL Project with SSIS
Loading a Data Warehouse with SSIS
Visualizing Data from the Data Warehouse

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides comprehensive training on designing and implementing data warehouse solutions on the SQL Server platform
Introduces the fundamental concepts and practices of data warehousing
In-depth exploration of dimensional modeling design, including dimension table techniques, hierarchies, and fact tables
Covers data loading into a data warehouse, including setting up an ETL project with SSIS and loading techniques
Practical guidance on visualizing data from the data warehouse, enabling effective data analysis and insights
Taught by Ana Voicu, recognized for her expertise in data warehouse design and implementation on the SQL Server platform

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Designing a Data Warehouse on the Microsoft SQL Server Platform with these activities:
Read The Data Warehouse Toolkit
Supplement course material with a book written by experts in the field.
Show steps
Join a Study Group
Peer study groups are a great way to reinforce new knowledge and connect with other students.
Show steps
  • Find other students taking the same course
  • Schedule regular meetings to discuss the course material
Create a Dimensional Model
Reinforce your understanding of a critical concept in data warehousing through practice.
Browse courses on Dimensional Modeling
Show steps
  • Follow your data warehouse design
  • Identify the dimensions and facts
  • Define your relationships and hierarchies
Three other activities
Expand to see all activities and additional details
Show all six activities
Follow along with the course code
Supplement the course material with provided examples.
Show steps
  • Go to the course repository
  • Clone or download the repository
  • Follow along with the code examples
Design a Data Warehouse
Create a real world example of a data warehouse design to gain hands-on experience.
Browse courses on Data Warehouse Design
Show steps
  • Identify a data warehouse problem to solve
  • Plan out your data warehouse's structure
  • Use SQL Server to create your data warehouse
  • Test the performance of your data warehouse
  • Tune your data warehouse for performance
Build a Report on Top of a Data Warehouse
Putting everything together helps cement the concepts learned in the course to reinforce stronger knowledge retention.
Show steps
  • Design your report
  • Implement your report
  • Test your report

Career center

Learners who complete Designing a Data Warehouse on the Microsoft SQL Server Platform will develop knowledge and skills that may be useful to these careers:
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and implementing data warehouse solutions that meet the needs of a business. This course will help you build a foundation in data warehouse design and implementation, which will be essential for success in this role. You'll learn about the different components of a data warehouse, how to model data, and how to load and extract data from a data warehouse. You'll also learn about the different tools and technologies that are used to build and manage data warehouses.
Data Warehouse Developer
Data Warehouse Developers are responsible for developing and maintaining data warehouses. This course will help you gain the skills and knowledge you need to be successful in this role. You'll learn about the different programming languages and tools that are used to develop data warehouses, and you'll gain experience in designing and implementing data warehouse solutions.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course will help you build a foundation in data analysis and data visualization, which will be essential for success in this role. You'll learn about the different types of data analysis techniques, and you'll gain experience in using data visualization tools to present data in a clear and concise way.
Data Scientist
Data Scientists use data to solve business problems. This course will help you build a foundation in data science, which will be essential for success in this role. You'll learn about the different data science techniques, and you'll gain experience in using data science tools to solve real-world problems.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course will help you gain the skills and knowledge you need to be successful in this role. You'll learn about the different database technologies, and you'll gain experience in managing and maintaining databases.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn about data warehousing and data analysis.
Systems Analyst
Systems Analysts design and implement computer systems. This course may be useful for Systems Analysts who want to learn about data warehousing and data analysis.
Project Manager
Project Managers plan and manage projects. This course may be useful for Project Managers who are working on data warehouse projects.
Data Architect
Data Architects design and manage data architectures. This course may be useful for Data Architects who want to learn about data warehousing and data analysis.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course may be useful for Business Analysts who want to learn about data warehousing and data analysis.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Designing a Data Warehouse on the Microsoft SQL Server Platform.
Is the definitive guide to dimensional modeling, the most widely used data warehousing design methodology. It is essential reading for anyone involved in data warehousing design or implementation.
Provides a comprehensive overview of data lake design patterns and best practices. It valuable resource for anyone looking to implement a data lake solution.
Provides a comprehensive overview of data warehousing and data mining techniques. It valuable resource for anyone looking to learn more about these topics.
Provides a comprehensive overview of data warehousing concepts and practices. It valuable resource for anyone looking to learn more about data warehousing.
Collection of articles by Ralph Kimball and other leading experts on data warehousing. It valuable resource for anyone looking to learn more about data warehousing best practices.
Provides a step-by-step guide to the data warehouse lifecycle. It valuable resource for anyone looking to implement a successful data warehousing project.
Provides a comprehensive overview of SSIS data flow. It valuable reference for anyone looking to implement a data warehouse solution on the SQL Server platform.
Provides a comprehensive overview of SQL Server data warehousing features and capabilities. It valuable reference for anyone looking to implement a data warehouse solution on the SQL Server platform.

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