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Cloud Data Warehouses with Azure
Vishnu (Lucky) Pamula,
Amanda Moran,
and
Matt Swaffer, PhD
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
Read more
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
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/1r7htt/cloud
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
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
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
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Activities
Coming soon
We're preparing activities for
Cloud Data Warehouses with Azure.
These are activities you can do either before, during, or after a course.
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 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.
Data Architect
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.
Business Intelligence Analyst
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.
Data Scientist
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.
Software Engineer
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.
Database Administrator
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.
Cloud Architect
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.
Data Engineer
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.
Machine Learning 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.
Data Analyst
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.
Statistician
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.
Quantitative Analyst
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.
Risk 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.
Fraud 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.
Actuary
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.
For more career information including salaries, visit:
OpenCourser.com/course/1r7htt/cloud
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1r7htt/cloud
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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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