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Microsoft
In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse. You'll learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance within Azure Synapse Analytics.
Read more
In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse. You'll learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance within Azure Synapse Analytics.
Read more
In this course, you will explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics. You will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns and how the common schema is implemented in a data warehouse. You'll learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance within Azure Synapse Analytics.
This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
This is the fifth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.
By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Register for this course and see more details by visiting:
OpenCourser.com/course/8mmecb/data
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What's inside
Syllabus
Design a Modern Data Warehouse using Azure Synapse Analytics
In this module, you will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.
Read more
Syllabus
Design a Modern Data Warehouse using Azure Synapse Analytics
In this module, you will learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.
Read more
Design a multidimensional schema to optimize analytical workloads
In this module, you will learn about how the common schema is implemented in a data warehouse.
Data loading and querying in Azure Synapse Analytics
In this module, you will learn the best practices you need to adopt to load data into a data warehouse and the techniques that you can use to optimize query performance within Azure Synapse Analytics.
Integrating pools and developer tools in Azure Synapse Analytics
In this module, you will learn how to integrate SQL and Apache Spark pools in Azure Synapse Analytics. You will also learn about the language capabilities that are available to create data warehouses in Azure Synapse Analytics.
Manage, optimize and secure a data warehouse
In this module, you will learn how to manage and monitor Azure Synapse Analytics. You will learn to analyze information used to optimize a data warehouse in Azure Synapse Analytics and how to approach and implement security to protect your data with Azure Synapse Analytics.
Practice Exam on Work with Data Warehouses using Azure Synapse Analytics
In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for data engineers and developers who want to demonstrate expertise in designing and implementing data solutions that use Microsoft Azure data services
Appropriate for professionals preparing for Exam DP-203: Data Engineering on Microsoft Azure (beta) because it teaches concepts and skills measured by the exam
Taught by Microsoft, which is recognized for its work in developing and maintaining Azure data services
Save this course
Save Data Warehousing with Microsoft Azure Synapse Analytics 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 Data Warehousing with Microsoft Azure Synapse Analytics with these
activities:
Review Basic Data Analytics Concepts
Show steps
Reviewing fundamental data analytics concepts will give you a solid foundation for learning about modern data warehouses in Azure Synapse Analytics.
Browse courses on
Data Analytics
Show steps
-
Read articles or blog posts on data analytics concepts
-
Review your notes from a previous data analytics course or workshop
-
Take a practice quiz on data analytics basics
Follow a Tutorial on Azure Synapse Analytics
Show steps
Following a guided tutorial will provide you with hands-on experience with Azure Synapse Analytics and help you understand its capabilities.
Browse courses on
Azure Synapse Analytics
Show steps
-
Find a tutorial on the Microsoft Learn platform or YouTube
-
Follow the steps in the tutorial to create and explore a data warehouse in Azure Synapse Analytics
-
Experiment with different features and functionalities of Azure Synapse Analytics
Load and Query Data in Azure Synapse Analytics
Show steps
Practicing data loading and querying in Azure Synapse Analytics will enhance your understanding of how to work with data in a modern data warehouse.
Browse courses on
Data Loading
Show steps
-
Create a dataset and load it into a data warehouse in Azure Synapse Analytics
-
Write queries to retrieve and analyze data from the data warehouse
-
Optimize your queries for performance
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a Data Warehouse Schema
Show steps
Designing a data warehouse schema will help you apply the principles of data warehouse design and gain experience in creating a logical structure for your data.
Show steps
-
Identify the business requirements for the data warehouse
-
Choose the appropriate data model for the warehouse
-
Design the tables and relationships in the schema
-
Document the schema design
Attend an Azure Synapse Analytics Workshop
Show steps
Attending an Azure Synapse Analytics workshop will provide you with in-depth knowledge and practical experience in working with Azure Synapse Analytics.
Browse courses on
Azure Synapse Analytics
Show steps
-
Find an Azure Synapse Analytics workshop in your area or online
-
Register for the workshop
-
Attend the workshop and actively participate in the activities
Participate in a Data Analytics Competition
Show steps
Participating in a data analytics competition will challenge you to apply your skills and knowledge in a real-world scenario and provide an opportunity to learn from others.
Browse courses on
Data Analytics
Show steps
-
Find a data analytics competition that aligns with your interests and skill level
-
Form a team or work individually on the competition
-
Analyze the data and develop insights
-
Submit your findings to the competition
Mentor a Junior Data Analyst
Show steps
Mentoring a junior data analyst will allow you to share your knowledge and experience while reinforcing your own understanding of Azure Synapse Analytics.
Browse courses on
Data Analysis
Show steps
-
Find a junior data analyst who is interested in learning about Azure Synapse Analytics
-
Set up regular meetings to provide guidance and support
-
Share your knowledge and experience in working with Azure Synapse Analytics
-
Provide feedback and encouragement to help the junior data analyst develop their skills
Review Basic Data Analytics Concepts
Show steps
Reviewing fundamental data analytics concepts will give you a solid foundation for learning about modern data warehouses in Azure Synapse Analytics.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Read articles or blog posts on data analytics concepts
- Review your notes from a previous data analytics course or workshop
- Take a practice quiz on data analytics basics
Follow a Tutorial on Azure Synapse Analytics
Show steps
Following a guided tutorial will provide you with hands-on experience with Azure Synapse Analytics and help you understand its capabilities.
Browse courses on
Azure Synapse Analytics
Show steps
Show steps
Show steps
- Find a tutorial on the Microsoft Learn platform or YouTube
- Follow the steps in the tutorial to create and explore a data warehouse in Azure Synapse Analytics
- Experiment with different features and functionalities of Azure Synapse Analytics
Load and Query Data in Azure Synapse Analytics
Show steps
Practicing data loading and querying in Azure Synapse Analytics will enhance your understanding of how to work with data in a modern data warehouse.
Browse courses on
Data Loading
Show steps
Show steps
Show steps
- Create a dataset and load it into a data warehouse in Azure Synapse Analytics
- Write queries to retrieve and analyze data from the data warehouse
- Optimize your queries for performance
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a Data Warehouse Schema
Show steps
Designing a data warehouse schema will help you apply the principles of data warehouse design and gain experience in creating a logical structure for your data.
Show steps
Show steps
Show steps
- Identify the business requirements for the data warehouse
- Choose the appropriate data model for the warehouse
- Design the tables and relationships in the schema
- Document the schema design
Attend an Azure Synapse Analytics Workshop
Show steps
Attending an Azure Synapse Analytics workshop will provide you with in-depth knowledge and practical experience in working with Azure Synapse Analytics.
Browse courses on
Azure Synapse Analytics
Show steps
Show steps
Show steps
- Find an Azure Synapse Analytics workshop in your area or online
- Register for the workshop
- Attend the workshop and actively participate in the activities
Participate in a Data Analytics Competition
Show steps
Participating in a data analytics competition will challenge you to apply your skills and knowledge in a real-world scenario and provide an opportunity to learn from others.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Find a data analytics competition that aligns with your interests and skill level
- Form a team or work individually on the competition
- Analyze the data and develop insights
- Submit your findings to the competition
Mentor a Junior Data Analyst
Show steps
Mentoring a junior data analyst will allow you to share your knowledge and experience while reinforcing your own understanding of Azure Synapse Analytics.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a junior data analyst who is interested in learning about Azure Synapse Analytics
- Set up regular meetings to provide guidance and support
- Share your knowledge and experience in working with Azure Synapse Analytics
- Provide feedback and encouragement to help the junior data analyst develop their skills
Career center
Learners who complete Data Warehousing with Microsoft Azure Synapse Analytics will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course can help you build skills in querying data in Azure Synapse Analytics and understanding how the common schema is implemented in a data warehouse. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
ETL Developer
ETL Developer
An ETL Developer designs and builds data pipelines to load data from source systems into a data warehouse. This course can help you build skills in loading data into a data warehouse and optimizing query performance within Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Database Developer
Database Developer
A Database Developer designs and develops databases. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and data warehouses. This course can help you build skills in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Warehouse Manager
Data Warehouse Manager
A Data Warehouse Manager manages and maintains a data warehouse. This course can help you build skills in managing and monitoring Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Integration Specialist
Data Integration Specialist
A Data Integration Specialist integrates data from multiple sources into a unified data warehouse. This course can help you build skills in integrating and transforming data into a data warehouse using Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course can help you build skills in managing and monitoring Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Scientist
Data Scientist
A Data Scientist uses data to build models and make predictions. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Services Engineer
Data Services Engineer
A Data Services Engineer designs, implements, and manages data services. This course can help you build skills in managing and monitoring Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Architect
Data Architect
A Data Architect designs and implements data management solutions to meet the needs of an organization. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help you build skills in integrating SQL and Apache Spark pools in Azure Synapse Analytics. You will also learn about the language capabilities that are available to create data warehouses in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course can help you build skills in implementing security to protect your data with Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Cloud Architect
Cloud Architect
A Cloud Architect designs and implements cloud-based solutions. This course can help you build skills in designing and implementing a modern data warehouse using Azure Synapse Analytics and other Microsoft Azure data services. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to make informed decisions. This course can help you build skills in analyzing information used to optimize a data warehouse in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. This course can help you build skills in managing and monitoring Azure Synapse Analytics. You will also learn about security features in Azure Synapse Analytics. This course may also help you to prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta).
For more career information including salaries, visit:
OpenCourser.com/course/8mmecb/data
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
Data Warehousing with Microsoft Azure Synapse Analytics.
This classic text from data warehousing pioneer Ralph Kimball provides a comprehensive guide to dimensional modeling, the most widely used data warehousing architecture. is helpful in providing foundational knowledge
This classic book covers the fundamental principles of data warehouse design and implementation. While not specific to Azure Synapse Analytics, it provides a strong foundation for understanding data warehousing concepts and best practices.
Provides a comprehensive guide to data warehousing with Oracle. The book covers all aspects of data warehousing, from data modeling to data loading and querying. It is an excellent resource for anyone who wants to learn about data warehousing with Oracle.
Save
Provides a comprehensive overview of data engineering on Azure. The book covers all aspects of data engineering, from data integration to data analytics. It is an excellent resource for anyone who wants to learn about data engineering on Azure.
Introduces the dimensional modeling approach, which is widely used in data warehousing. It complements the course's focus on data modeling and schema design and provides practical guidance for practitioners.
provides a comprehensive overview of data warehouse design techniques. The book covers all aspects of data warehouse design, from data modeling to data quality. It is an excellent resource for anyone who wants to learn about data warehouse design.
This textbook provides a comprehensive overview of data warehousing fundamentals and is suitable as a foundational resource to complement the course. It covers topics such as data modeling, data quality, and data integration, which are essential concepts for understanding data warehousing. Recommended as supplementary reading.
While not specific to data warehousing, this book provides a comprehensive overview of data-intensive application architecture. It covers topics such as data storage, processing, and analytics, which are relevant to the course's focus on modern data warehousing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8mmecb/data
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Effort
6 weeks of study, 1-2 hours/week.
Level
Intermediate
Via
Coursera
Institution
Microsoft
Instructor
Microsoft
Language
English
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آذربایجان دیلی
This course belongs to a
collection
called
Microsoft Azure Data Engineering Associate (DP-203). It's comprised of ten courses:
- Data Integration with Microsoft Azure Data Factory
- Data Warehousing with Microsoft Azure Synapse Analytics (viewing)
- Prepare for DP-203: Data Engineering on Microsoft Azure Exam
- Introduction to Microsoft Azure Synapse Analytics
- Data Engineering with MS Azure Synapse Apache Spark Pools
- Microsoft Azure for Data Engineering
- Operational Analytics with Microsoft Azure Synapse Analytics
- Microsoft Azure Databricks for Data Engineering
- Azure Data Lake Storage Gen2 and Data Streaming Solution
- Data Storage in Microsoft Azure
Good to know
Suitable for data engineers and developers who want to demonstrate expertise in designing and implementing data solutions that use Microsoft Azure data services
Appropriate for professionals preparing for Exam DP-203: Data Engineering on Microsoft Azure (beta) because it teaches concepts and skills measured by the exam
Taught by Microsoft, which is recognized for its work in developing and maintaining Azure data services
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