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Azure Data Engineer Video Course

What I will learn?

  • You will learn the fundamentals of data engineering and how it relates to Azure.
  • You will explore various data storage options in Azure, including Azure Blob Storage and Azure Data Lake Storage.
  • You will gain knowledge about Azure Data Factory and how to use it for data integration and orchestration.
  • You will understand the concepts of Azure Databricks and its role in data processing workflows.
  • You will learn about Azure Synapse Analytics and its capabilities for data orchestration and analysis.
  • You will discover how to transform and analyze data using Azure Data Factory data transformations.
  • You will gain insights into working with big data processing using Azure HDInsight.
  • You will learn about Azure Analysis Services and how to use it for data analysis and visualization.
  • You will understand the importance of data security in Azure and how to implement measures like Azure Active Directory and Azure Key Vault.
  • You will learn about monitoring data usage and performance using Azure Monitor.

Course Curriculum

Azure Data Engineer Demo Classes

Azure Data Engineer Classes

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8,000.00 13,000.00

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Requirements

  • Basic Programming Skills: While not mandatory, having some knowledge of programming languages like Python or SQL will be beneficial when working with Azure data engineering tools and services.
  • Understanding of Data Concepts: It will be helpful to have a basic understanding of data storage formats (such as CSV, JSON, or Parquet) and data integration concepts (such as ETL processes or data pipelines).
  • Having prior knowledge of data structures and database management principles will be advantageous.
  • Familiarity with Cloud Computing: Having a general understanding of cloud computing concepts, including virtual machines, storage, and networking, will provide a foundation for learning Azure data engineering.
  • Basic Knowledge of Data Engineering: While the course covers the fundamentals of data engineering, having a basic understanding of data engineering concepts, such as data ingestion, transformation, and visualization, will help you grasp the concepts more quickly.

Tags

Target Audience

  • Data Engineers
  • Azure Professionals
  • Data Professionals
  • IT Professionals and Developers
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