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Xavier Morera
This course will teach you how to work with Microsoft Azure's cloud data repository built on top of Blob Storage: Data Lake Store Gen2.
Read more
This course will teach you how to work with Microsoft Azure's cloud data repository built on top of Blob Storage: Data Lake Store Gen2.
Read more
This course will teach you how to work with Microsoft Azure's cloud data repository built on top of Blob Storage: Data Lake Store Gen2.
Data lakes are used to hold vast amounts of data, a must when working with Big Data. In this course, Microsoft Azure Developer: Implementing Data Lake Storage Gen2, you will learn foundational knowledge and gain the ability to work with a large and HDFS-compliant data repository in Microsoft Azure. First, you will figure out how to ingest data. Next, you will discover how to manage and work with your Big Data. Finally, you will explore how to run jobs using a Hadoop cluster, using platforms like Spark with the use of the ABFS driver. When you're finished with this course, you will have the skills and knowledge of work with large data repositories in Microsoft's cloud, everything needed to build solutions at scale to help you discover trends and insights.
Register for this course and see more details by visiting:
OpenCourser.com/course/oa16g9/microsoft
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What's inside
Syllabus
Course Overview
Getting Started with Azure Data Lake Store Gen2
Managing Data with Azure Data Lake Store Gen2
Using a Data Lake Store as External Repository with a Hadoop Cluster
Read more
Syllabus
Course Overview
Getting Started with Azure Data Lake Store Gen2
Managing Data with Azure Data Lake Store Gen2
Using a Data Lake Store as External Repository with a Hadoop Cluster
Read more
Wrapping Up
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational knowledge and skills with HDFS-compliant data repositories on Microsoft's Azure, which will help learners build and deploy solutions at scale
Taught by Xavier Morera, who are recognized for their work in data lake storage
Covers core concepts in data lake ingestion, management, and processing, essential topics for data analysts and engineers
Leverages Spark with the ABFS driver, relevant tools and technologies for working with large data repositories in the cloud
Save this course
Save Microsoft Azure Developer: Implementing Data Lake Storage Gen2 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 Microsoft Azure Developer: Implementing Data Lake Storage Gen2 with these
activities:
Review data lake concepts
Show steps
Refresh your understanding of data lake concepts to strengthen your foundation for this course.
Browse courses on
Data Lakes
Show steps
-
Review the definition and purpose of data lakes.
-
Familiarize yourself with the benefits and challenges of using data lakes.
-
Explore different types of data lakes, such as Hadoop Distributed File System (HDFS) and Azure Data Lake Store.
Connect with a mentor experienced in Azure Data Lake Storage Gen2
Show steps
Accelerate your learning by seeking guidance from an experienced mentor in the field.
Show steps
-
Attend industry events or join online communities to network with professionals.
-
Reach out to potential mentors via LinkedIn or email to express your interest in learning from them.
-
Establish regular meetings or communication channels to receive personalized guidance.
Explore Microsoft's Tutorials on Data Lake Store Gen2
Show steps
Complement your understanding by following Microsoft's official tutorials, which provide step-by-step guidance and examples.
Browse courses on
Cloud Data Platform
Show steps
-
Visit the Microsoft Azure documentation website.
-
Search for tutorials related to Data Lake Store Gen2.
-
Follow the instructions and complete the exercises.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Attend a workshop on Azure Data Lake Storage Gen2
Show steps
Gain in-depth knowledge and practical experience through a structured workshop.
Show steps
-
Identify and register for workshops offered by Microsoft or other reputable organizations.
-
Attend the workshop and actively participate in hands-on exercises and discussions.
-
Network with other participants and industry experts.
Follow tutorials on Azure Data Lake Storage Gen2
Show steps
Enhance your practical skills by following guided tutorials on Azure Data Lake Storage Gen2.
Show steps
-
Search for tutorials on creating and managing data lakes with Azure Data Lake Storage Gen2.
-
Follow the steps in the tutorials to gain hands-on experience.
-
Experiment with different scenarios and configurations to deepen your understanding.
Data Lake Store Gen2 Hands-On Exercises
Show steps
Practice data ingestion, management, and processing in Data Lake Store Gen2 to solidify your understanding.
Browse courses on
Cloud Data Platform
Show steps
-
Follow along with the hands-on exercises in the course modules.
-
Experiment with different commands and scenarios to test your skills.
-
Refer to the Azure documentation for detailed instructions and additional examples.
Solve coding challenges related to Azure Data Lake Storage Gen2
Show steps
Solidify your coding skills by solving challenges specifically related to Azure Data Lake Storage Gen2.
Show steps
-
Find coding challenges on platforms like LeetCode or HackerRank.
-
Focus on challenges that involve working with data lake operations, such as ingesting, processing, and querying data.
-
Attempt to solve the challenges on your own, and refer to documentation or online resources as needed.
Create a blog post or article on a topic related to Azure Data Lake Storage Gen2
Show steps
Demonstrate your understanding and reinforce your learning by creating a blog post or article on a specific aspect of Azure Data Lake Storage Gen2.
Show steps
-
Choose a topic that interests you and aligns with the course content.
-
Research the topic thoroughly to gather accurate information.
-
Write a well-structured and informative blog post or article.
-
Share your content on platforms like Medium or LinkedIn.
Build a Data Pipeline with Hadoop and Data Lake Store Gen2
Show steps
Gain hands-on experience by designing and implementing a data pipeline that leverages Hadoop and Data Lake Store Gen2 together.
Browse courses on
Hadoop
Show steps
-
Design a data pipeline architecture.
-
Configure Hadoop and Data Lake Store Gen2.
-
Develop data processing jobs using the ABFS driver.
-
Test and deploy your data pipeline.
Participate in a hackathon or data science competition that involves Azure Data Lake Storage Gen2
Show steps
Challenge yourself and showcase your skills by participating in a competition that utilizes Azure Data Lake Storage Gen2.
Show steps
-
Identify hackathons or competitions that align with your interests and skill level.
-
Form a team or work independently to solve the challenges.
-
Utilize your knowledge of Azure Data Lake Storage Gen2 to develop innovative solutions.
Build a personal project using Azure Data Lake Storage Gen2
Show steps
Apply your knowledge by developing a practical project that utilizes Azure Data Lake Storage Gen2.
Show steps
-
Identify a project idea that aligns with your interests and learning goals.
-
Design the architecture of your project, including data ingestion, processing, and visualization.
-
Implement your project using Azure Data Lake Storage Gen2 and other relevant technologies.
-
Deploy your project and share it with others to showcase your skills.
Review data lake concepts
Show steps
Refresh your understanding of data lake concepts to strengthen your foundation for this course.
Browse courses on
Data Lakes
Show steps
Show steps
Show steps
- Review the definition and purpose of data lakes.
- Familiarize yourself with the benefits and challenges of using data lakes.
- Explore different types of data lakes, such as Hadoop Distributed File System (HDFS) and Azure Data Lake Store.
Connect with a mentor experienced in Azure Data Lake Storage Gen2
Show steps
Accelerate your learning by seeking guidance from an experienced mentor in the field.
Show steps
Show steps
Show steps
- Attend industry events or join online communities to network with professionals.
- Reach out to potential mentors via LinkedIn or email to express your interest in learning from them.
- Establish regular meetings or communication channels to receive personalized guidance.
Explore Microsoft's Tutorials on Data Lake Store Gen2
Show steps
Complement your understanding by following Microsoft's official tutorials, which provide step-by-step guidance and examples.
Browse courses on
Cloud Data Platform
Show steps
Show steps
Show steps
- Visit the Microsoft Azure documentation website.
- Search for tutorials related to Data Lake Store Gen2.
- Follow the instructions and complete the exercises.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Attend a workshop on Azure Data Lake Storage Gen2
Show steps
Gain in-depth knowledge and practical experience through a structured workshop.
Show steps
Show steps
Show steps
- Identify and register for workshops offered by Microsoft or other reputable organizations.
- Attend the workshop and actively participate in hands-on exercises and discussions.
- Network with other participants and industry experts.
Follow tutorials on Azure Data Lake Storage Gen2
Show steps
Enhance your practical skills by following guided tutorials on Azure Data Lake Storage Gen2.
Show steps
Show steps
Show steps
- Search for tutorials on creating and managing data lakes with Azure Data Lake Storage Gen2.
- Follow the steps in the tutorials to gain hands-on experience.
- Experiment with different scenarios and configurations to deepen your understanding.
Data Lake Store Gen2 Hands-On Exercises
Show steps
Practice data ingestion, management, and processing in Data Lake Store Gen2 to solidify your understanding.
Browse courses on
Cloud Data Platform
Show steps
Show steps
Show steps
- Follow along with the hands-on exercises in the course modules.
- Experiment with different commands and scenarios to test your skills.
- Refer to the Azure documentation for detailed instructions and additional examples.
Solve coding challenges related to Azure Data Lake Storage Gen2
Show steps
Solidify your coding skills by solving challenges specifically related to Azure Data Lake Storage Gen2.
Show steps
Show steps
Show steps
- Find coding challenges on platforms like LeetCode or HackerRank.
- Focus on challenges that involve working with data lake operations, such as ingesting, processing, and querying data.
- Attempt to solve the challenges on your own, and refer to documentation or online resources as needed.
Create a blog post or article on a topic related to Azure Data Lake Storage Gen2
Show steps
Demonstrate your understanding and reinforce your learning by creating a blog post or article on a specific aspect of Azure Data Lake Storage Gen2.
Show steps
Show steps
Show steps
- Choose a topic that interests you and aligns with the course content.
- Research the topic thoroughly to gather accurate information.
- Write a well-structured and informative blog post or article.
- Share your content on platforms like Medium or LinkedIn.
Build a Data Pipeline with Hadoop and Data Lake Store Gen2
Show steps
Gain hands-on experience by designing and implementing a data pipeline that leverages Hadoop and Data Lake Store Gen2 together.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Design a data pipeline architecture.
- Configure Hadoop and Data Lake Store Gen2.
- Develop data processing jobs using the ABFS driver.
- Test and deploy your data pipeline.
Participate in a hackathon or data science competition that involves Azure Data Lake Storage Gen2
Show steps
Challenge yourself and showcase your skills by participating in a competition that utilizes Azure Data Lake Storage Gen2.
Show steps
Show steps
Show steps
- Identify hackathons or competitions that align with your interests and skill level.
- Form a team or work independently to solve the challenges.
- Utilize your knowledge of Azure Data Lake Storage Gen2 to develop innovative solutions.
Build a personal project using Azure Data Lake Storage Gen2
Show steps
Apply your knowledge by developing a practical project that utilizes Azure Data Lake Storage Gen2.
Show steps
Show steps
Show steps
- Identify a project idea that aligns with your interests and learning goals.
- Design the architecture of your project, including data ingestion, processing, and visualization.
- Implement your project using Azure Data Lake Storage Gen2 and other relevant technologies.
- Deploy your project and share it with others to showcase your skills.
Career center
Learners who complete Microsoft Azure Developer: Implementing Data Lake Storage Gen2 will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
In the role of a Data Engineer you will design, build, test, and maintain data management systems. To excel in this job role it is necessary to understand how to handle big data. This course, Microsoft Azure Developer: Implementing Data Lake Storage Gen2, can help build a foundation for working with big data in Microsoft Azure. In this course you will learn how to ingest, manage, and process big data using a Hadoop cluster.
Big Data Architect
Big Data Architect
A Big Data Architect designs, builds, and maintains big data solutions and systems. It is essential to have a thorough understanding of the principles and practices involved in working with big data. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course is a valuable step in developing the skills necessary to succeed as a Big Data Architect. It will help you learn how to ingest, manage, and process big data using a Hadoop cluster.
Data Architect
Data Architect
Data Architects design, build, and maintain the architecture for data management systems and solutions. These professionals need a deep understanding of data management principles and practices, including how to work with big data. This Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course can help build a foundation for success in this career. In this course, you will learn how to ingest, manage, and process big data using a Hadoop cluster.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course, Microsoft Azure Developer: Implementing Data Lake Storage Gen2, provides the skills and knowledge necessary to succeed as a Data Scientist. It will particularly help build a foundation for working with big data in Microsoft Azure.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop, deploy, and maintain machine learning models and systems. In these roles, it is essential to be able to work with big data. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course can help develop the necessary skills. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems, applications, and tools. Many of these roles involve working with big data. By taking the Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course you can gain the skills needed to succeed in these roles, including how to ingest, manage, and process big data using a Hadoop cluster.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based solutions and systems. To succeed in these roles it is necessary to work with big data. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course will help you develop the skills needed to succeed as a Cloud Engineer. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. To succeed in these roles it is necessary to work with big data. Taking the Microsoft Azure Developer: Implementing Data Lake Storage Gen2 can help you develop the skills needed as a Data Analyst. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases and database systems. It is necessary to understand how to work with big data to succeed in these roles. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course can help build a foundation for working with big data in Microsoft Azure. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
IT Manager
IT Manager
IT Managers plan, organize, and direct the implementation and use of information technology systems. It is necessary to understand how to work with big data to succeed in these roles. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course can help build a foundation for working with big data in Microsoft Azure. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer and network systems. In many roles, it is necessary to understand how to work with big data. Taking the Microsoft Azure Developer: Implementing Data Lake Storage Gen2 can help develop the skills needed as a Systems Engineer. You will learn how to ingest, manage, and process big data using a Hadoop cluster.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. In many roles it is necessary to understand how to work with big data. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 course may help you develop the necessary skills. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer systems and networks. In many roles, it is necessary to understand how to work with big data. Taking the Microsoft Azure Developer: Implementing Data Lake Storage Gen2 can help develop the skills needed as an Information Security Analyst. You will learn how to ingest, manage, and process big data using a Hadoop cluster.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design, build, and maintain data warehouses and data warehousing systems. It is necessary to understand how to work with big data to succeed in these roles. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 can help develop the skills needed as a Data Warehouse Architect. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
Data Management Consultant
Data Management Consultant
Data Management Consultants help organizations improve their data management practices and processes. It is necessary to understand how to work with big data to succeed in these roles. The Microsoft Azure Developer: Implementing Data Lake Storage Gen2 can help develop the skills needed as a Data Management Consultant. It will teach you how to ingest, manage, and process big data using a Hadoop cluster.
For more career information including salaries, visit:
OpenCourser.com/course/oa16g9/microsoft
Reading list
We've selected six 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
Microsoft Azure Developer: Implementing Data Lake Storage Gen2.
Provides a comprehensive overview of Hadoop, the open-source framework that is used to build and operate large-scale data processing systems. It valuable resource for anyone looking to learn more about Hadoop or to use it with Data Lake Storage Gen2.
Provides a comprehensive overview of Spark, the open-source cluster-computing framework that is used for large-scale data processing. It valuable resource for anyone looking to learn more about Spark or to use it with Data Lake Storage Gen2.
Provides a comprehensive overview of data science and how to use Python for data analysis and modeling.
Provides a comprehensive overview of machine learning and how to use Python for building machine learning models.
Save
Provides a comprehensive overview of deep learning and its applications.
Provides a comprehensive overview of natural language processing and how to use Python for NLP tasks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/oa16g9/microsoft
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Time
68 hours
Level
Intermediate
Via
Pluralsight
Instructor
Xavier Morera
Language
English
This course belongs to a
collection
called
Microsoft Azure Storage for Developers. It's comprised of ten courses:
- Microsoft Azure Developer: Connecting to Storage
- Microsoft Azure Developer: Implementing Table Storage
- Microsoft Azure Developer: Implementing Blob Storage
- Learning Azure Cosmos DB
- Microsoft Azure Developer: Implementing Azure Cache
- Microsoft Azure Developer: Implementing CDNs for Storage
- Microsoft Azure Developer: Configuring CORS Access for Storage
- Microsoft Azure Developer: Implementing File Storage
- Microsoft Azure Developer: Implementing Data Lake Storage Gen2 (viewing)
- Microsoft Azure Developer: Managing Azure SQL Database
Good to know
Develops foundational knowledge and skills with HDFS-compliant data repositories on Microsoft's Azure, which will help learners build and deploy solutions at scale
Taught by Xavier Morera, who are recognized for their work in data lake storage
Covers core concepts in data lake ingestion, management, and processing, essential topics for data analysts and engineers
Leverages Spark with the ABFS driver, relevant tools and technologies for working with large data repositories in the cloud
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