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Jared Rhodes
This course targets software developers looking to source data from inside and outside of the cloud. The content will also showcase methods and tools available using Microsoft Azure.
Read more
This course targets software developers looking to source data from inside and outside of the cloud. The content will also showcase methods and tools available using Microsoft Azure.
Read more
This course targets software developers looking to source data from inside and outside of the cloud. The content will also showcase methods and tools available using Microsoft Azure.
The cloud has nearly infinite compute power for processing. In this course, Sourcing Data in Microsoft Azure, you'll learn foundational knowledge of data types, data policy, and finding data. First, you'll learn how to register data sources with Azure Data Catalog. Next, you'll discover how to extract, transform, and load data with Azure Data Factory. Finally, you'll explore how to set up data processing with Azure HD Insight. When you're finished with this course, you'll have the skills and knowledge of the tools and processes needed to source data in Microsoft Azure. Software required: Microsoft Azure portal.
This course is no longer available. Find something similar by browsing:
Data Sourcing
Azure Data Catalog
Azure Data Factory
Azure HDInsight
Data Extraction
Data Transformation
Data Loading
Register for this course and see more details by visiting:
OpenCourser.com/course/4458ng/sourcing
What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Examines data types, data policy, and finding data sources, all of which are foundational to data sourcing in Microsoft Azure
Emphasizes Microsoft Azure tools for data sourcing
Builds a foundation for data sourcing in Microsoft Azure
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Reviews summary
Foundational azure data sourcing for developers
According to students, this course provides a strong foundational understanding of sourcing data in Microsoft Azure, particularly beneficial for software developers new to Azure data pipelines. Learners consistently praise the clear explanations and practical, hands-on demonstrations, especially for services like Azure Data Factory. However, a notable concern is that some Azure portal interfaces shown may be slightly outdated, which can occasionally challenge newcomers. While it serves as an excellent starting point for beginners, more experienced users might find the content too basic, desiring deeper dives into advanced topics or optimization techniques. Overall, it's a highly relevant introduction to data sourcing in the cloud.
Ideal for beginners, but lacks depth for experienced professionals.
"Highly recommend for developers new to Azure data pipelines. The pace was just right for a beginner."
"The content is too basic and offered very little new information as someone with prior experience."
"Good for absolute beginners maybe, but I wished there were more advanced topics or troubleshooting tips."
Provides a comprehensive introduction to key Azure data services.
"It offers a good overview of Azure Data Catalog, Data Factory, and HDInsight."
"This course provided a fantastic introduction to sourcing data in Azure."
"I found it to be a good starting point for understanding data sourcing in Azure."
The instructor effectively simplifies complex Azure data concepts.
"The instructor explained complex topics like Azure Data Factory and HDInsight clearly."
"The instructor's explanations were spot on and easy to follow."
"I found the course content well-presented and easy to grasp for a technical beginner."
Students highly value the practical labs and demonstrations provided.
"The labs were incredibly helpful and hands-on, allowing me to apply the concepts immediately."
"I particularly appreciated the practical demonstrations; they solidified my understanding."
"The exercises reinforced the learning, especially the ETL process with Data Factory."
Some Azure UI elements in videos are not current.
"Some of the Azure portal interfaces shown in the videos are a bit outdated, which was confusing."
"While core concepts are valid, it can be confusing to follow along exactly due to UI changes."
"I noticed that much of the UI is out of date, which made some steps difficult to replicate."
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 Sourcing Data in Microsoft Azure with these
activities:
Azure Data Catalog Resource Compilation
Show steps
Build a comprehensive collection of resources related to Azure Data Catalog to strengthen your data management knowledge.
Show steps
-
Gather documentation on Azure Data Catalog best practices.
-
Collect tutorials and blog posts on data registration and discovery.
-
Identify tools and services that integrate with Azure Data Catalog.
Azure Data Community Study Group
Show steps
Enhance your understanding of Azure data services by collaborating with peers in a dedicated study group.
Show steps
-
Join the Azure Data Community Study Group.
-
Participate in weekly discussions on course-related topics.
-
Share knowledge and resources with fellow group members.
Azure Data Factory Practice Exercises
Show steps
Reinforce your understanding of data extraction and loading techniques in Azure Data Factory through hands-on exercises.
Browse courses on
Azure Data Factory
Show steps
-
Follow guided tutorials to set up Azure Data Factory.
-
Practice creating pipelines for data extraction and loading.
-
Troubleshoot common errors associated with data transformation.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Microsoft Azure HD Insight Tutorials
Show steps
Enhance your understanding of big data processing with Microsoft Azure HD Insight by working through interactive tutorials.
Browse courses on
Data Processing
Show steps
-
Complete beginner-friendly tutorials on HD Insight cluster creation.
-
Experiment with Hadoop and Spark clusters for data processing.
-
Explore advanced features such as Hive and Pig.
Data Policy and Compliance Exercises
Show steps
Gain practical experience in applying data policy and compliance measures in the context of Microsoft Azure.
Browse courses on
Data Policy
Show steps
-
Review Azure's data privacy and protection guidelines.
-
Practice setting up role-based access control for data sources.
-
Complete exercises on data encryption and anonymization.
Azure Data Architecture Design Document
Show steps
Apply your knowledge of Azure data services by creating a comprehensive design document for a data architecture solution.
Browse courses on
Data Design
Show steps
-
Define the data requirements and objectives of the solution.
-
Design a logical and physical data model using Azure data services.
-
Document the data security and compliance measures.
Azure Data Platform Workshop
Show steps
Expand your knowledge of the Azure Data Platform by participating in a hands-on workshop led by industry experts.
Show steps
-
Register for the Azure Data Platform Workshop.
-
Attend the workshop and engage in interactive exercises.
-
Network with peers and industry professionals.
Azure Data Challenge
Show steps
Test your skills and learn from others by participating in the Azure Data Challenge, a Kaggle competition focused on data analytics.
Browse courses on
Data Analytics
Show steps
-
Register for the Azure Data Challenge on Kaggle.
-
Explore the competition dataset and develop data analysis strategies.
-
Submit your analysis and compete for prizes.
Azure Data Catalog Resource Compilation
Show steps
Build a comprehensive collection of resources related to Azure Data Catalog to strengthen your data management knowledge.
Show steps
Show steps
Show steps
- Gather documentation on Azure Data Catalog best practices.
- Collect tutorials and blog posts on data registration and discovery.
- Identify tools and services that integrate with Azure Data Catalog.
Azure Data Community Study Group
Show steps
Enhance your understanding of Azure data services by collaborating with peers in a dedicated study group.
Show steps
Show steps
Show steps
- Join the Azure Data Community Study Group.
- Participate in weekly discussions on course-related topics.
- Share knowledge and resources with fellow group members.
Azure Data Factory Practice Exercises
Show steps
Reinforce your understanding of data extraction and loading techniques in Azure Data Factory through hands-on exercises.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Follow guided tutorials to set up Azure Data Factory.
- Practice creating pipelines for data extraction and loading.
- Troubleshoot common errors associated with data transformation.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Microsoft Azure HD Insight Tutorials
Show steps
Enhance your understanding of big data processing with Microsoft Azure HD Insight by working through interactive tutorials.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Complete beginner-friendly tutorials on HD Insight cluster creation.
- Experiment with Hadoop and Spark clusters for data processing.
- Explore advanced features such as Hive and Pig.
Data Policy and Compliance Exercises
Show steps
Gain practical experience in applying data policy and compliance measures in the context of Microsoft Azure.
Browse courses on
Data Policy
Show steps
Show steps
Show steps
- Review Azure's data privacy and protection guidelines.
- Practice setting up role-based access control for data sources.
- Complete exercises on data encryption and anonymization.
Azure Data Architecture Design Document
Show steps
Apply your knowledge of Azure data services by creating a comprehensive design document for a data architecture solution.
Browse courses on
Data Design
Show steps
Show steps
Show steps
- Define the data requirements and objectives of the solution.
- Design a logical and physical data model using Azure data services.
- Document the data security and compliance measures.
Azure Data Platform Workshop
Show steps
Expand your knowledge of the Azure Data Platform by participating in a hands-on workshop led by industry experts.
Show steps
Show steps
Show steps
- Register for the Azure Data Platform Workshop.
- Attend the workshop and engage in interactive exercises.
- Network with peers and industry professionals.
Azure Data Challenge
Show steps
Test your skills and learn from others by participating in the Azure Data Challenge, a Kaggle competition focused on data analytics.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Register for the Azure Data Challenge on Kaggle.
- Explore the competition dataset and develop data analysis strategies.
- Submit your analysis and compete for prizes.
Career center
Learners who complete Sourcing Data in Microsoft Azure will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a key role in enabling data-driven decision-making by collecting, cleaning, and analyzing data. They use their expertise to uncover insights and patterns that help organizations better understand their customers, optimize operations, and make strategic decisions. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Analyst.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure and processes that support data management and analytics. They work closely with data scientists and analysts to ensure that data is accessible, reliable, and secure. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to register data sources, extract, transform, and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Engineer.
Data Scientist
Data Scientist
Data Scientists use their expertise in mathematics, statistics, and computer science to extract insights from data. They develop and apply machine learning and other analytical techniques to solve business problems and drive innovation. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Scientist.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They ensure that data is stored securely and efficiently, and that it is accessible to users when needed. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to register data sources, extract, transform, and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Database Administrator.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work closely with users to understand their needs and develop solutions that meet those needs. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Software Engineer.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with businesses to understand their needs and develop solutions that meet those needs. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Cloud Architect.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists are responsible for integrating data from multiple sources into a single, unified view. They work closely with data analysts and engineers to ensure that data is accessible and reliable. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Integration Specialist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and apply machine learning algorithms to solve business problems. They work closely with data scientists and engineers to develop and deploy machine learning models. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Machine Learning Engineer.
Business Analyst
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They analyze data to identify inefficiencies and opportunities for improvement. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Business Analyst.
IT Manager
IT Manager
IT Managers are responsible for the planning, implementation, and management of IT systems. They work with businesses to understand their needs and develop solutions that meet those needs. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as an IT Manager.
Project Manager
Project Manager
Project Managers are responsible for the planning, implementation, and management of projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Project Manager.
Systems Analyst
Systems Analyst
Systems Analysts work with businesses to understand their needs and develop solutions that meet those needs. They analyze data to identify inefficiencies and opportunities for improvement. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Systems Analyst.
Data Warehouse Administrator
Data Warehouse Administrator
Data Warehouse Administrators are responsible for the maintenance and performance of data warehouses. They ensure that data is stored securely and efficiently, and that it is accessible to users when needed. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to register data sources, extract, transform, and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Warehouse Administrator.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for the development and implementation of data governance policies and procedures. They work with businesses to ensure that data is used in a consistent and ethical manner. The Sourcing Data in Microsoft Azure course can help you develop the skills and knowledge needed to succeed in this role. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a strong foundation for a successful career as a Data Governance Specialist.
Data Quality Analyst
Data Quality Analyst
Data Quality Analysts are responsible for ensuring the quality of data. They work with businesses to identify and correct errors in data. The Sourcing Data in Microsoft Azure course may be useful for you if you are interested in a career as a Data Quality Analyst. You'll learn how to identify potential data sources, extract and load data, and set up data processing. This course will provide you with a foundation for a successful career in data quality.
For more career information including salaries, visit:
OpenCourser.com/course/4458ng/sourcing
Reading list
We've selected ten 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
Sourcing Data in Microsoft Azure.
Provides a collection of recipes for common data engineering tasks in Azure. It valuable resource for anyone who is working with data in Azure.
Provides a comprehensive overview of Kafka. It valuable resource for anyone who wants to learn more about the topic.
Provides a comprehensive overview of Hadoop. It valuable resource for anyone who wants to learn more about the topic.
Provides a comprehensive overview of Spark. It valuable resource for anyone who wants to learn more about the topic.
Provides a comprehensive overview of cloud data management. It valuable resource for anyone who wants to learn more about the topic.
Provides a catalog of design patterns for data integration. It useful reference for anyone who is designing or implementing a data integration solution.
Provides an introduction to data-intensive applications with cloud data management. It good starting point for anyone who wants to learn more about the topic.
Provides an introduction to big data analytics. It good starting point for anyone who wants to learn more about the topic.
Provides an introduction to data-intensive text processing with MapReduce. It good starting point for anyone who wants to learn more about the topic.
Save
Provides an introduction to data-intensive applications with Apache Spark. It good starting point for anyone who wants to learn more about the topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4458ng/sourcing
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Similar courses
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Time
72 hours
Level
Introductory
Via
Pluralsight
Instructor
Jared Rhodes
Language
English
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