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Azure Synapse Training

Live Online & Classroom Enterprise Training

Azure Synapse is an integrated analytics service that combines big data and data warehousing to analyze large volumes of data. It enables querying data using serverless or provisioned resources, supporting advanced analytics and business intelligence.

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What is Azure Synapse Course about?

This course provides an in-depth understanding of Azure Synapse Analytics, covering big data processing, data warehousing, real-time analytics, and integration with Power BI and other Azure services. You will learn how to build scalable, high-performance analytics solutions using SQL pools, Spark, Pipelines, and Synapse Studio.

What are the objectives of Azure Synapse Course ?

  • Understand Azure Synapse Analytics architecture and capabilities
  • Create and manage dedicated SQL pools and on-demand (serverless) SQL pools
  • Perform big data analytics using Apache Spark in Azure Synapse
  • Ingest, transform, and analyze data using Synapse Pipelines
  • Optimize performance, security, and cost in Synapse Analytics
  • Integrate Synapse with Power BI for real-time reporting and dashboards
  • Implement data governance, security, and compliance in Synapse
  • Use Synapse Link for seamless data integration with Azure Cosmos DB 

Who is Azure Synapse Course for?

  • Data Engineers & Architects building cloud-scale analytics solutions
  • BI Developers & Analysts working with Power BI and Azure SQL
  • Cloud Architects designing enterprise data platforms
  • Big Data Professionals working with Apache Spark and distributed computing

What are the prerequisites for Azure Synapse Course?

Basic understanding of data warehousing and SQL 

Available Training Modes

Live Online Training

2 Days

Self-Paced Training

20 Hours

Course Outline Expand All

Expand All

  • Overview of Azure Synapse Analytics and its key components
  • Comparing Synapse Analytics vs. Azure SQL Data Warehouse
  • Understanding Synapse Studio and its workspace
  • Creating dedicated and serverless SQL pools
  • Writing T-SQL queries for big data processing
  • Implementing partitioning, indexing, and data distribution strategies
  • Running Apache Spark jobs in Synapse
  • Working with PySpark, Scala, and Spark SQL
  • Performing ETL transformations on large datasets
  • Using Synapse Pipelines for data ingestion and ETL
  • Connecting to Azure Data Lake, Azure Blob Storage, and SQL databases
  • Automating workflows using Data Flows and Mapping Data Flows
  • Implementing role-based access control (RBAC) and Managed Identities
  • Encrypting data using Transparent Data Encryption (TDE)
  • Configuring firewalls, private endpoints, and network security
  • Optimizing query performance using caching and indexing
  • Scaling compute resources dynamically
  • Implementing cost management best practices
  • Connecting Azure Synapse with Power BI for interactive reporting
  • Building real-time dashboards and visualizations
  • Optimizing Power BI queries for Synapse datasets

Who is the instructor for this training?

The trainer for this Azure Synapse Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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