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DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics Course Overview

The DP-3012-A course equips professionals with the skills to implement data analytics solutions using Azure Synapse Analytics. This training is crucial for data engineers, analysts, and business intelligence professionals seeking to enhance their capabilities in managing and analyzing large datasets, ultimately driving informed decision-making in their organizations.


Course Introduction

Price:

USD 750

Duration:

8 Hrs.

  • Course Overview
    • Introduction to Data Analytics and Azure Synapse Analytics
    • Course Objectives and Learning Outcomes
  • Module 1: Introduction to Azure Synapse Analytics
    • Overview of Synapse Analytics
    • Key Components and Architecture
    • Synapse Studio and User Interface
  • Module 2: Data Ingestion and Preparation
    • Data Sources and Ingestion Techniques
    • Copying Data to Synapse
    • Data Preparation and Transformation
  • Module 3: Data Warehousing with Synapse
    • Designing a Data Warehouse
    • Data Modeling Concepts
    • Implementing Synapse SQL Pools
  • Module 4: Data Analytics
    • Querying Data with T-SQL
    • Using Synapse Spark for Data Processing
    • Exploring Data Visualization Techniques
  • Module 5: Security and Access Control
    • Data Security Features in Synapse
    • Authentication and Authorization
    • Managing Access Control and Permissions
  • Module 6: Monitoring and Management
    • Monitoring Synapse Resources
    • Performance Tuning and Optimization
    • Troubleshooting Common Issues
  • Module 7: Integrating with Other Azure Services
    • Connecting Azure Synapse with Azure Data Lake
    • Integration with Power BI
    • Using Azure Functions and Logic Apps
  • Module 8: Best Practices and Case Studies
    • Implementing Best Practices for Data Analytics
    • Real-world Case Studies and Applications
    • Future Trends in Data Analytics with Azure
  • Course Conclusion
    • Review of Key Concepts
    • Assessment and Certification Preparation
    • Resources for Further Learning

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