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Learning Azure Databricks
Udemy MOOC / Non-credit 0

Learning Azure Databricks

About this course

This course will take you on a journey into the world of Azure Databricks, transforming how you handle data analysis, engineering tasks, and machine learning tasks.[New] Course Revision Highlights:Databricks Free Edition: Learn about the new capabilities and limitations of the Databricks Free Edition, offering hands-on experience for beginners without cost barriersUnity Catalog Login Issues (Solved): We've addressed and resolved the common login problems with Unity Catalog, ensuring seamless integration and access managementNew Content on Apache Structured Streaming: Dive deeper into real-time data processing with updated modules on Apache Structured Streaming for robust stream handling and analyticsAzure Databricks Lakeflow Release: Explore the latest release of Lakeflow, enhancing workflow automation and simplifying data engineering tasks in Azure DatabricksHighlights:Learn to set up and utilize Azure Databricks efficiently.Understand Open Storage Parquet, Data Lakes, and Delta Lakes.Explore the Medallion design pattern.Use Azure Databricks for SQL Data Warehousing.Master Spark Programming and Big Data Processing in Azure Databricks.Utilize Unity Catalog for managing batch and streaming datasets.Build pipelines with Delta Live Tables in Azure Databricks.Implement CI/CD pipelines using Azure DevOps.Automate infrastructure provisioning with Terraform for Azure Databricks.Leverage Azure Databricks for Machine Learning, including MLFlow integration.This course caters to data engineers, data scientists, and analytics professionals, enhancing your ability to use Azure Databricks for complex analytics projects. Our courses are designed wit

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62/100

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38/45
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8/35
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16/20

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What you'll learn

  • how to set up and utilize Azure Databricks
  • understand Open Storage Parquet
  • explore the Medallion design pattern
  • use Azure Databricks for SQL Data Warehousing
  • master Spark programming and big data processing
  • utilize Unity Catalog for managing datasets
  • build pipelines with Delta Live Tables
  • implement CI/CD pipelines using Azure DevOps
  • automate infrastructure provisioning with Terraform
  • leverage Azure Databricks for machine learning
Machine Learning Data Analysis #machine learning #azure databricks #big data #terraform #data analysis #workflow automation #data engineering #mlflow #ci/cd pipelines #data lakes #real-time data processing #unity catalog #spark programming #delta live tables #apache structured streaming
$109.99

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