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Home/Courses/DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics

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

4.68(2,867 reviews)
Duration
1
Upcoming Batch
12 November 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic

The DP-3012-A course, titled “Implementing a Data Analytics Solution with Azure Synapse Analytics,” is designed to provide comprehensive training on how to effectively utilize Azure Synapse Analytics for data analytics and integration. This course covers the essential skills needed to develop and manage end-to-end data analytics solutions using Azure Synapse. Participants will learn how to architect and implement data pipelines, perform data integration and transformation, and utilize advanced analytics features. The course emphasizes practical, hands-on experience with Azure Synapse Analytics, including configuring data sources, creating and managing data pipelines, and analyzing data through various tools and services integrated within the platform. By the end of the course, learners will be equipped with the knowledge and skills to design, deploy, and optimize data analytics solutions that leverage the full capabilities of Azure Synapse Analytics.

Schedule Dates

12 November 2026
DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics
12 February 2027
DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics
12 May 2027
DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics
12 August 2027
DP-3012-A: Implementing a Data Analytics Solution with Azure Synapse Analytics

Course Content

  • Introduction to Azure Synapse Analytics
  • Use Azure Synapse serverless SQL pool to query files in a data lake
  • Analyze data with Apache Spark in Azure Synapse Analytics
  • Use Delta Lake in Azure Synapse Analytics
  • Analyze data in a relational data warehouse
  • Build a data pipeline in Azure Synapse Analytics

FAQs

A basic understanding of data analytics concepts and experience with Azure services are recommended. Familiarity with data warehousing, SQL, and Big Data technologies will also be beneficial.

 

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