This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.

Course Prerequisites

To successfully participate in the DP-3012-A course, learners should have the following foundational skills and knowledge:

• Familiarity with notebooks using languages such as SQL, Python, or Scala in environments like Databricks, Jupyter Notebooks, or Zeppelin
• Basic experience with SQL and Python for data processing
• Working knowledge of Azure tools, particularly Azure Data Factory
• Understanding of basic data analytics and ETL/ELT concepts

This course is ideal for data professionals looking to expand their skills into Synapse Analytics and gain insights into building scalable analytics solutions on Azure.

Target Audience

This course is intended for:

• Data engineers, data analysts, and data scientists who want to explore how Azure Synapse Analytics fits into their data analytics toolset
• Professionals with experience in data processing using SQL, Spark, or Python who are familiar with Azure Data Factory or similar data orchestration tools
• Individuals aiming to build end-to-end data analytics pipelines that integrate data ingestion, preparation, warehousing, and business intelligence using Synapse

The course supports professionals seeking to enhance their ability to manage hybrid data integration and analytics using Microsoft’s modern cloud platform.

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

Master the use of Azure Synapse Analytics to build powerful and secure data analytics pipelines by integrating data wrangling, ELT processes, and orchestration through Synapse Pipelines.

• Understand the core components of Azure Synapse Analytics and how they work together to deliver end-to-end analytics
• Learn to ingest, prepare, manage, and serve data for business intelligence and machine learning use cases
• Gain hands-on experience with key features including data integration, warehousing, and big data processing
• Explore security capabilities in Synapse to protect and govern analytics workloads
• Master query optimization and troubleshooting techniques for performance tuning in both SQL and Spark pools
• Learn to automate workflows using Synapse Pipelines and integrate with a broader Azure data platform ecosystem

This course offers a comprehensive introduction to Azure Synapse Analytics, preparing professionals to implement scalable, secure, and efficient analytics solutions.