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  • Path icon Learning Path
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  • Cloud
  • Data

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.

Content in this path

Build Data Solutions with Azure Databricks

Start your Azure Databricks journey with the following courses.

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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
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