The document serves as a comprehensive guide for becoming an Azure Data Engineer, outlining essential educational prerequisites, skills, and knowledge. It introduces key Azure services like Data Lake Storage, Databricks, Synapse Analytics, and Data Factory, along with certifications for professional development. It emphasizes the importance of continuous learning, community engagement, and practical experience in data engineering.

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Azure Data Engineering:
A Complete Guide

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+91-9989971070
Introduction to Azure Data Engineering
• Understanding the Role of a Data Engineer
• Educational Background and Prerequisites

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Required Education
• Bachelor’s Degree in Computer Science or Related Field
• Additional Certifications
Essential Skills and Knowledge
• Proficiency in Programming Languages
• Understanding of Data Structures and Algorithms
• Familiarity with Cloud Computing Concepts

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Getting Started with Azure
Introduction to Azure
• Overview of Azure Cloud Platform
• Understanding Azure Services relevant to Data Engineering
Creating an Azure Account
• Signing up for an Azure Account
• Accessing Azure Portal

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Essential Azure Services for Data Engineers
Azure Data Lake Storage
• Introduction to Azure Data Lake Storage
• Features and Benefits
• How to Create and Manage Data Lake Storage
Azure Databricks
• Overview of Azure Databricks
• Setting up and Configuring Azure Databricks
• Data Engineering with Azure Databricks

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Azure Synapse Analytics
• Introduction to Azure Synapse Analytics
• Features and Benefits
• Data Warehousing with Azure Synapse Analytics
Azure Data Factory
• Understanding Azure Data Factory
• Creating Pipelines for Data Integration
• Data Orchestration and Management

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Azure Cosmos DB
• Introduction to Azure Cosmos DB
• NoSQL Database Management
• Building Scalable Applications
• Certifications for Azure Data Engineers
Microsoft Certified: Azure Data Engineer Associate
• Exam DP-203: Data Engineering on Microsoft Azure
• Exam DP-200: Implementing an Azure Data Solution

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Microsoft Certified: Azure Solutions Architect Expert
• Exam AZ-303: Microsoft Azure Architect Technologies
• Exam AZ-304: Microsoft Azure Architect Design
• Hands-On Projects and Practical Experience
Building Data Pipelines
• Designing and Implementing Data Pipelines using Azure Data Factory
Real-time Data Processing
• Setting up Stream Analytics for Real-time Data Processing

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Data Analysis and Visualization
• Using Azure Synapse Analytics for Data Analysis
• Visualizing Data with Power BI
Data Security and Compliance
• Implementing Data Security Measures in Azure
• Ensuring Compliance with Regulations (e.g., GDPR, HIPAA)

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Continuous Learning and Professional Development
Keeping Up with Azure Updates
• Subscribing to Azure Updates and Newsletters
• Following Azure Blogs and Community Forums
Networking and Community Engagement
• Joining Azure User Groups and Forums
• Attending Conferences and Workshops

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Conclusion
• This outline covers the essential topics and subheadings for a
comprehensive guide on becoming an Azure data engineer.
• You can expand on each subheading to provide detailed
information and guidance.

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CONTACT
Data Engineer Course in Hyderabad
Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet,
Hyderabad-16
Visit: www.visualpath.in
Mobile No: +91-9989971070
E-Mail Id : online@visualpath.in

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