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  • Learning Path
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  • Cloud
  • Data
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Build Data Solutions with Azure Databricks

8 Courses
11 Hours
Skill IQ

Azure Databricks is a cloud-based analytics platform that enables scalable big data processing, data engineering, and machine learning using Apache Spark. This learning path will teach you how to build efficient data solutions with Azure Databricks, leveraging Azure-native tools for data storage, ETL workflows, real-time processing, machine learning, security, and performance optimization with Delta Lake and Photon Engine.

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Content in this path
Build Data Solutions with Azure Databricks

Start your Azure Databricks journey with the following courses.

Course
Up and Running with Azure Databricks
  • by Baneen Qazi
  • 54m
  • May 12, 2025
Course
Manage Data with Azure Databricks and Azure Data Lake
  • by Bismark Adomako
  • 1h 39m
  • Jul 23, 2025
Course
Build and Run ETL Pipelines with Azure Databricks and Azure Data Factory
  • by Mohit Batra
  • 2h 16m
  • Jun 20, 2025
Course
Optimize Storage and Performance in Azure Databricks with Delta Lake
  • by Janani Ravi
  • 1h 35m
  • Jul 31, 2025
Course
Real-time Data Processing with Azure Databricks
  • by Harsh Karna
  • 48m
  • May 14, 2025
Course
Machine Learning with Azure Databricks
  • by Janani Ravi
  • 1h 31m
  • Jul 31, 2025
Course
Security and Compliance in Azure Databricks
  • by Yasir Khan
  • 1h 5m
  • May 28, 2025
Course
Monitoring, Logging, and Cost Management in Azure Databricks
  • by Yasir Khan
  • 1h 1m
  • Jul 21, 2025
Try this learning path for free
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What You'll Learn
  • How to get started with Azure Databricks
  • How to manage data with Azure Databricks and Azure Data Lake
  • How to build and run ETL pipelines with Azure Databricks and Azure Data Factory
  • How to optimize storage and performance in Azure Databricks
  • How to perform real-time processing with Azure Databricks
  • How to perform machine learning with Azure Databricks
  • How to work with security and compliance in Azure Databricks
  • How to perform monitoring, logging, and cost management in Azure Databricks
Prerequisites
  • Learners interested in this path should have a basic understanding of cloud computing and Azure services, including Azure Storage, Azure Active Directory, and Azure Data Factory. Familiarity with SQL, Python, or Scala and fundamental data engineering or data science concepts will be helpful but is not required. Prior experience with Apache Spark is beneficial but not mandatory.
Related topics
  • Microsoft Azure
  • Databricks
  • ETL
  • Machine Learning
  • Big Data
  • Data Engineering
  • Data Science
Not sure where to start?
With over 500 assessments to choose from, you can see where your skills stand and receive adaptive learning recommendations to fill knowledge gaps in as little as 10 minutes.
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Learn with the best
Baneen Qazi
Baneen Qazi
A highly technical, marketing technology solutions architect with 10+ years of experience. Baneen has worked with industry-leading SMEs and enterprise businesses to create and develop marketing automation solutions and roadmaps in line with business requirements. With a data-driven focus and a passion for customer-centric solutions, Baneen specializes in designing and delivering architecturally robust solutions across Marketing Cloud, Personalization, and CDP. In her spare time, she enjoys cudd...
Bismark Adomako
Bismark Adomako
Bismark believes that education is no longer a one-time investment, but instead a lifelong pursuit and that great authors and mentors can play an invaluable role in finding and developing a fulfilling career. He holds a Bachelor of Science degree in Computer Engineering specializing in Software Engineering, Artificial Intelligence and Distributed computing. He taught courses in robotics and computer vision as a student leader whiles in school, and interned and consulted for the British Counci...
Mohit Batra
Mohit Batra
Mohit is a Data Engineer, a Microsoft Certified Trainer (MCT) and a consultant. Mohit has 15+ years of extensive experience in architecting large scale Business Intelligence, Data Warehousing and Big Data solutions with companies like Microsoft and some leading investment banks. As an expert in his field, Mohit has often shared his knowledge in Azure, Spark, SQL Server and Power BI at various public forums and as a corporate trainer. Mohit truly loves to teach and enjoys producing high-quality,...
Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ...
Harsh Karna
Harsh Karna
Harsh is a Software Engineer II at Uber (Data & AI) with 5+ years of experience in Data Engineering, Backend Development, and AI. He specializes in large-scale data pipelines and streaming systems using Spark, Kafka, and Databricks, with strong expertise in SQL, Python, and Java across AWS and Azure. His experience spans ETL frameworks, data lakes, warehouses, and backend services built with Django and Flask, along with projects in Generative AI, NLP, and real-time analytics. As a Pluralsight a...
Yasir Khan
Yasir Khan
Dr. Yasir Khan is the founder of 38 Labs, an Enterprise Data & AI consulting group with offices based out of Paris, New York and Bangalore. He holds a PhD in AI and is an instructor at Pluralsight, mentoring future experts on AI transformation, machine learning, enterprise solutions and digital transformation. Over his career he has published several articles for leading publishing houses in the field of AI. He speaks at several international conferences such as PyCon, PyData, IEEE. In his spare...

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