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Cloud Data Warehouses with Azure

Vishnu (Lucky) Pamula, Amanda Moran, and Matt Swaffer, PhD

Learn to use Azure to create cloud-based data warehouses and deliver enhanced business intelligence with this Cloud Data Warehouse Training Course from Udacity.

Prerequisite details

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Learn to use Azure to create cloud-based data warehouses and deliver enhanced business intelligence with this Cloud Data Warehouse Training Course from Udacity.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Basic SQL
  • Relational data models
  • Basic github
  • Azure basics
  • Command line interface basics
  • Basic Python
  • Relational database basics

You will also need to be able to communicate fluently and professionally in written and spoken English.

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What's inside

Syllabus

In this lesson, you'll learn about the course, including the prerequisites, tools, environment, and course project.
In this lesson, you'll be introduced to data warehouses, ETL, and OLAP cubes.
Read more
In this lesson, you'll learn about ELT, the differences between ETL and ELT, and general cloud data warehouse technologies.
In this lesson, you will learn about specific data warehouse technologies and solutions in Azure.
In this lesson, you will have the opportunity to implement a data warehouse in Azure using Synapse.
In this project, you will develop a data warehouse solution using Azure Synapse Analytics to analyze bike share data.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Meant for those familiar with basic SQL, data models, and Azure fundamentals, this course assumes basic Python and command line proficiency
Fits individuals who need business intelligence and data warehousing proficiency
Teaches cloud-based data warehousing and enhanced business intelligence using Microsoft Azure

Save this course

Save Cloud Data Warehouses with Azure to your list so you can find it easily later:
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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 Cloud Data Warehouses with Azure with these activities:
Review SQL Basics
Strengthen your SQL skills before starting the course to ensure a smooth learning experience.
Browse courses on SQL
Show steps
  • Review SQL syntax and commands
  • Practice writing SQL queries
  • Test your understanding with online quizzes or exercises
Attend a Data Warehousing Meetup
Attend a data warehousing meetup to connect with other professionals and learn from their experiences.
Show steps
  • Find a data warehousing meetup in your area.
  • Register for the meetup.
  • Attend the meetup and participate in the discussions.
Data Warehousing Fundamentals by Ralph Kimball
Gain a solid foundation in data warehousing concepts and best practices by reading this classic text.
View The Kimball Group Reader on Amazon
Show steps
  • Read the book
  • Take notes and highlight key concepts
  • Discuss the book with peers or a mentor
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Azure Synapse Analytics Tutorial
Follow a guided tutorial to learn the basics of Azure Synapse Analytics, the cloud data warehouse service used in this course.
Browse courses on Azure Synapse Analytics
Show steps
  • Create an Azure Synapse Analytics workspace.
  • Load data into Azure Synapse Analytics.
  • Query data in Azure Synapse Analytics.
Azure Synapse Analytics Tutorials
Enhance your knowledge of Azure Synapse Analytics by following guided tutorials that provide hands-on experience.
Browse courses on Azure Synapse Analytics
Show steps
  • Access the Azure Synapse Analytics tutorials
  • Select a tutorial that aligns with your learning goals
  • Follow the tutorial steps and complete the exercises
  • Review the tutorial materials and reinforce your understanding
SQL Queries for Data Warehousing
Practice writing SQL queries to analyze data in a data warehouse, a core skill for data analysts and engineers.
Browse courses on SQL
Show steps
  • Write queries to extract data from tables.
  • Write queries to aggregate data.
  • Write queries to join tables.
Design a Data Warehouse Schema
Design a data warehouse schema to practice implementing a data warehouse solution.
Browse courses on Data Warehouse Design
Show steps
  • Identify business requirements and data sources.
  • Create a conceptual data model.
  • Transform the conceptual data model into a physical data model.
ETL Challenge
Reinforce your understanding of ETL processes by completing challenges and exercises.
Browse courses on ETL
Show steps
  • Start the ETL Challenge
  • Design an ETL process
  • Implement the ETL process in Azure Data Factory
  • Test and validate the ETL process
ELT Pipeline for Bike Share Data
Build an ELT pipeline to load and transform bike share data, which is a common data source used in data warehousing.
Browse courses on ELT
Show steps
  • Gather data from the bike share API.
  • Clean and transform the data.
  • Load the data into a data warehouse.
Data Warehouse Discussion Forum
Engage with peers and exchange ideas by actively participating in discussion forums focused on data warehouse topics.
Browse courses on Data Warehouse
Show steps
  • Join the Data Warehouse Discussion Forum
  • Read and respond to discussion threads
  • Share your insights and experiences
  • Ask questions and seek clarification from peers
Data Warehousing Workshop
Participate in a data warehousing workshop to learn from experts and practice using data warehousing technologies.
Browse courses on Data Warehousing
Show steps
  • Find a data warehousing workshop in your area.
  • Register for the workshop.
  • Attend the workshop and participate in the exercises.
Data Warehouse Design Document
Solidify your understanding of data warehouse design by creating a comprehensive document that outlines the architecture, data models, and implementation plan.
Browse courses on Data Warehouse Design
Show steps
  • Gather requirements
  • Design the data warehouse schema
  • Create a data warehouse implementation plan
  • Document the design and implementation plan
Data Warehouse Case Study
Showcase your understanding by developing a case study that demonstrates how a data warehouse can solve a real-world business problem.
Browse courses on Data Warehouse
Show steps
  • Identify a business problem that can be addressed with a data warehouse
  • Design a data warehouse solution
  • Implement the data warehouse solution
  • Analyze the data and draw insights
  • Document your findings and present your case study

Career center

Learners who complete Cloud Data Warehouses with Azure will develop knowledge and skills that may be useful to these careers:
Data Warehouse Engineer
Data Warehouse Engineers design and implement data warehouses to support business intelligence and analytics. They work with data architects and business analysts to understand data requirements, and then design and build data warehouses that can meet those requirements. This course can help you build a foundation in data warehousing, including the concepts of ETL, OLAP, and cloud data warehouse technologies. You'll also learn how to implement a data warehouse in Azure using Synapse.
See salaries and explore the career path for Data Warehouse Engineer
Data Architect
Data Architects design and manage data architectures for organizations. They work with business stakeholders to understand data needs, and then design and implement data architectures that can meet those needs. This course can help you build a foundation in data architecture, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to design and implement a data warehouse in Azure using Synapse.
See salaries and explore the career path for Data Architect
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and then develop recommendations for how businesses can improve their operations. This course can help you build a foundation in business intelligence, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop business intelligence reports.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
Data Scientists use data to build predictive models and solve business problems. They work with data to identify patterns and trends, and then develop models that can be used to predict future outcomes. This course can help you build a foundation in data science, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to build predictive models.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand requirements, and then design and develop software that meets those requirements. This course can help you build a foundation in software engineering, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to develop software applications.
See salaries and explore the career path for Software Engineer
Database Administrator
Database Administrators manage and maintain databases. They work with database users to understand requirements, and then configure and maintain databases to meet those requirements. This course can help you build a foundation in database administration, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to manage and maintain databases.
See salaries and explore the career path for Database Administrator
Cloud Architect
Cloud Architects design and manage cloud computing environments. They work with stakeholders to understand requirements, and then design and implement cloud computing environments that can meet those requirements. This course can help you build a foundation in cloud architecture, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to design and implement cloud data warehouse solutions.
See salaries and explore the career path for Cloud Architect
Data Engineer
Data Engineers build and maintain data pipelines. They work with data architects and data scientists to understand data requirements, and then build and maintain data pipelines that can deliver data to those who need it. This course can help you build a foundation in data engineering, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to build and maintain data pipelines.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work with data scientists to understand data requirements, and then build and maintain machine learning models that can be used to solve business problems. This course can help you build a foundation in machine learning, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to build and maintain machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
Data Analysts use data to identify trends and patterns. They work with data to identify opportunities and risks, and then develop recommendations for how businesses can improve their operations. This course can help you build a foundation in data analysis, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop data analysis reports.
See salaries and explore the career path for Data Analyst
Statistician
Statisticians use data to make inferences about populations. They work with data to identify trends and patterns, and then develop models that can be used to make predictions about future outcomes. This course can help you build a foundation in statistics, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop statistical models.
See salaries and explore the career path for Statistician
Quantitative Analyst
Quantitative Analysts use data to make financial decisions. They work with data to identify trends and patterns, and then develop models that can be used to make investment decisions. This course can help you build a foundation in quantitative analysis, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop quantitative analysis models.
See salaries and explore the career path for Quantitative Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. They work with data to identify trends and patterns, and then develop models that can be used to predict future risks. This course can help you build a foundation in risk analysis, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop risk analysis models.
See salaries and explore the career path for Risk Analyst
Fraud Analyst
Fraud Analysts use data to identify and investigate fraud. They work with data to identify trends and patterns, and then develop models that can be used to predict future fraud. This course can help you build a foundation in fraud analysis, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop fraud analysis models.
See salaries and explore the career path for Fraud Analyst
Actuary
Actuaries use data to assess and manage risk. They work with data to identify trends and patterns, and then develop models that can be used to predict future risks. This course may help you build a foundation in actuarial science, including the concepts of data warehousing, ETL, and cloud data warehouse technologies. You'll also learn how to use Azure Synapse to analyze data and develop actuarial models.
See salaries and explore the career path for Actuary

Reading list

We've selected four 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 Cloud Data Warehouses with Azure.
Cover image
Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Save
This practical guide provides step-by-step instructions for designing, building, and managing data warehouses. It is an essential resource for anyone involved in data warehousing.
Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Paperback
$$$$
Cover image
The Data Warehouse Toolkit
Save
This classic book comprehensive guide to dimensional modeling, a fundamental concept in data warehousing. It provides insights into data modeling techniques, best practices, and case studies, offering a deeper understanding of the underlying principles behind effective data warehouses.
The Data Warehouse Toolkit
Paperback
Check
The Data Warehouse Toolkit
Kindle Edition
Check
Cover image
The Kimball Group Reader
Save
This foundational book provides a comprehensive overview of data warehousing concepts, techniques, and best practices. It offers a solid background on data integration, modeling, and analytics, complementing the course's emphasis on Azure-specific technologies.
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check
Cover image
Predictive Analytics and Data Mining
Save
Covers both data warehousing and data mining techniques, providing a broader perspective on data management and analytics. It offers insights into data integration, modeling, and analysis, complementing the course's focus on data warehousing-specific topics.
Predictive Analytics and Data Mining
Paperback
Check
Predictive Analytics and Data Mining
Kindle Edition
Check

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Course image
Effort
4 weeks
Level
Advanced
Via
Udacity
Instructors
Vishnu (Lucky) Pamula
Amanda Moran
Matt Swaffer, PhD
Language
English
Good to know
Meant for those familiar with basic SQL, data models, and Azure fundamentals, this course assumes basic Python and command line proficiency
Fits individuals who need business intelligence and data warehousing proficiency
Teaches cloud-based data warehousing and enhanced business intelligence using Microsoft Azure
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