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Starts 6 July 2025 14:35

Ends 6 July 2025

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Azure Synapse Analytics - A Data Lakehouse

Join us to explore the capabilities of Azure Synapse Analytics, a groundbreaking service that harmonizes data warehousing with Big Data analytics. This platform is designed to simplify the complexities of data management by offering scalable solutions that easily integrate with modern data technologies. During this event, you will have the.
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Overview

Join us to explore the capabilities of Azure Synapse Analytics, a groundbreaking service that harmonizes data warehousing with Big Data analytics. This platform is designed to simplify the complexities of data management by offering scalable solutions that easily integrate with modern data technologies.

During this event, you will have the opportunity to see firsthand how Azure Synapse Analytics can revolutionize the way data is managed and analyzed.

Our demonstrations will showcase the tool's extensive features, adept scalability, and how it effectively interfaces with modern data warehouses, ensuring you gain comprehensive insights into its potential applications.

Whether you are involved in Artificial Intelligence or keen on staying updated with the latest in data management advancements, this event is crafted for you. Don't miss the chance to enhance your knowledge base and leverage Azure Synapse Analytics for your data solutions.

Syllabus

  • Introduction to Azure Synapse Analytics
  • Overview of Azure Synapse Analytics
    Key features and capabilities
    Understanding the Data Lakehouse concept
  • Architecture and Components
  • Synapse SQL (serverless and provisioned)
    Apache Spark for Synapse
    Synapse Pipelines
    Synapse Studio
  • Data Integration
  • Data ingestion with Synapse Pipelines
    Integration with Azure Data Lake Storage
    Working with external data sources
  • Data Processing and Management
  • Querying data with Serverless SQL
    Running Big Data transformations with Apache Spark
    Managing data with Synapse Workspace
  • Scalability and Performance
  • Data distribution and partitioning
    Optimizing query performance
    Utilizing Synapse Analytics' scalability features
  • Data Security and Compliance
  • Implementing role-based access control
    Data encryption strategies
    Monitoring and managing access logs
  • Demonstrations and Hands-On Activities
  • Setting up a Synapse Workspace
    Creating and executing SQL queries
    Building a data pipeline
    Analyzing data with Apache Spark notebooks
  • Integration with Modern Data Warehouses
  • Connecting Synapse with Power BI for visualization
    Integrating with Azure Machine Learning
    Understanding the role of Synapse in a modern data architecture
  • Case Studies and Industry Applications
  • Real-world examples of Synapse Analytics implementations
    Industry-specific use cases
  • Final Project
  • Designing and implementing a data solution using Azure Synapse Analytics
    Presentation and evaluation of the data solution
  • Course Summary and Next Steps
  • Recap of key learning points
    Resources for further learning and certification preparation

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