OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Microsoft Azure Developer: Implementing Data Lake Storage Gen2 is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Read Reviews → Enroll Active
Coursera ★ 4.9
Forecasting Skills: See the Future Before it Happens
By Institute for the Future
Read Reviews → Enroll Active
Coursera ★ 4.8
Analyzing Big Data with SQL
By Cloudera
Read Reviews → Enroll Active
Pluralsight logo

Microsoft Azure Developer

Implementing Data Lake Storage Gen2

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.

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.

This course is no longer available. Find something similar by browsing:
Data Lake Big Data Microsoft Azure Hadoop Cluster Apache Spark ABFS Driver Data Ingestion

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

Traffic lights

Read about what's good
what should give you pause
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

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Azure data lake storage gen2 implementation

According to learners, this course offers a strong foundation in Azure Data Lake Storage Gen2. It effectively covers data ingestion and management, deemed highly relevant for Big Data solutions professionals. The curriculum addresses practical aspects and core architecture, including Hadoop and Spark integration with the ABFS driver, preparing students to build scalable solutions. While excellent for fundamentals, some feedback suggests a desire for more advanced topics or troubleshooting beyond its introductory scope.
Highly relevant for Azure developers and Big Data professionals.
"This course is directly applicable to my work as an Azure developer dealing with large datasets."
"I found the content essential for understanding modern Big Data architecture in the cloud."
"It’s a must-have for anyone looking to build scalable data solutions on Microsoft Azure."
Covers hands-on aspects of data management and Hadoop integration.
"The sections on ingesting and managing data were very practical and immediately applicable."
"I appreciated learning how to integrate the data lake with a Hadoop cluster and use Spark."
"The focus on real-world use cases for Big Data solutions was extremely helpful."
Establishes essential knowledge for Azure Data Lake Gen2.
"I gained a very clear understanding of Data Lake Store Gen2 from the ground up."
"This course provided a strong starting point for anyone looking to work with large data repositories on Azure."
"It perfectly covers the foundational concepts needed before diving into advanced topics."
Provides good breadth but could expand on advanced topics.
"I felt the course provided a good overview, but I'd have liked more depth on optimization or specific troubleshooting."
"While excellent for an introduction, advanced users might find some sections less challenging."
"The course is comprehensive for its stated objectives, though a follow-up for complex scenarios would be great."

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
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
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
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
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
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
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
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
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
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
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
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.

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
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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Big 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.
See salaries and explore the career path for Data Architect
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Machine Learning 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.
See salaries and explore the career path for Software 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.
See salaries and explore the career path for Cloud Engineer
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for IT Manager
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.
See salaries and explore the career path for Systems 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.
See salaries and explore the career path for Network Engineer
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.
See salaries and explore the career path for Information Security Analyst
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.
See salaries and explore the career path for Data Warehouse Architect
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.
See salaries and explore the career path for Data Management Consultant

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.
Cover image
Hadoop: The Definitive Guide
Save
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.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Spark: The Definitive Guide
Save
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.
Spark: The Definitive Guide
Paperback
Check
Spark: The Definitive Guide
Kindle Edition
Check
Cover image
Python Data Science Handbook
Save
Provides a comprehensive overview of data science and how to use Python for data analysis and modeling.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
Machine Learning Q and AI
Save
Provides a comprehensive overview of machine learning and how to use Python for building machine learning models.
Machine Learning Q and AI: 30 Essential Questions...
Paperback
$$
Machine Learning Q and AI: 30 Essential Questions...
Kindle Edition
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning and its applications.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of natural language processing and how to use Python for NLP tasks.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Microsoft Azure Developer: Implementing Data Lake Storage Gen2.
Machine Learning with Spark on Google Cloud Dataproc
Most relevant
Explore Core Data Concepts in Microsoft Azure
Most relevant
Fundamentals of Scalable Data Science
Most relevant
Spark, Hadoop, and Snowflake for Data Engineering
Most relevant
Cloud Computing Applications, Part 2: Big Data and...
Most relevant
Working with Big Data
Most relevant
Distributed Image Processing in Cloud Dataproc
Most relevant
Big Data Analysis with Scala and Spark
Most relevant
Apache Spark In-Depth (Spark with Scala)
Most relevant

Pluralsight Buyer Protection & Guarantee

Verified partner policies & purchase protections

Enterprise Technology Platform
Free Trial & Audit

10-Day Free Trial

10-day free trial (up to 200 minutes of content) with access to the Skills video library and skill assessments. Cancel before day 10 to avoid automatic conversion.

Return & Refund Policy

Cancel Anytime (Non-Refundable Once Billed)

Cancel easily online anytime before the 10-day trial expires to prevent billing. Once subscription fees are paid, individual subscriptions are non-refundable (cancellation stops future renewals).

Buyer Protections

Verified Academic & Industry Partner

Skill IQ and Role IQ diagnostic benchmark assessments, hands-on lab environments, and curated learning paths designed by technology leaders.

Key Purchase Protections
10-day free trial on individual Skills plans
Skill IQ assessments to benchmark proficiency
Cancel anytime online before trial ends without fees
Hands-on interactive labs and enterprise-grade tech content
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
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:
  1. Microsoft Azure Developer: Connecting to Storage
  2. Microsoft Azure Developer: Implementing Table Storage
  3. Microsoft Azure Developer: Implementing Blob Storage
  4. Learning Azure Cosmos DB
  5. Microsoft Azure Developer: Implementing Azure Cache
  6. Microsoft Azure Developer: Implementing CDNs for Storage
  7. Microsoft Azure Developer: Configuring CORS Access for Storage
  8. Microsoft Azure Developer: Implementing File Storage
  9. Microsoft Azure Developer: Implementing Data Lake Storage Gen2 (viewing)
  10. Microsoft Azure Developer: Managing Azure SQL Database
Traffic lights
Read about what's good
what should give you pause
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
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
This course is currently discontinued or unavailable. See active alternatives above.
Course Unavailable
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser