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DP-203 Data Engineering on Microsoft Azure

40,000.00

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Course Level

Intermediate

Video Tutorials

33

Course content

Month 1: Foundations of Azure Data Engineering

Introduction to Azure Data Engineering
00:00
Overview of Data Engineering on Azure
00:00
Introduction to Azure Data Lake Storage Gen2
00:00
Introduction to Azure Synapse Analytics
00:00

Month 2: Serverless Data Analytics with Azure Synapse

Month 3: Data Engineering with Azure Synapse Apache Spark Pools

Month 4: Working with Data Warehouses and Data Pipelines

Month 5: Hybrid Transactional and Analytical Processing (HTAP) Solutions

Month 6: Real-Time Data Streaming and Enterprise Data Governance

About Course

The DP-203 Data Engineering on Microsoft Azure course equips learners with the knowledge and skills to design and deploy data engineering solutions on Azure. It covers a wide array of Azure services including Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks. Through hands-on labs, participants will gain practical experience in querying data with serverless SQL pools, conducting data engineering with Azure Synapse Apache Spark Pools, and implementing real-time analytics with Azure Stream Analytics. The course also delves into security and compliance, covering end-to-end security measures, and explores integration with Power BI for reporting and Azure Synapse Analytics for machine learning processes. By the course’s conclusion, learners will possess a solid understanding of data engineering principles, enabling them to construct scalable and secure data solutions in the cloud. This course is ideal for professionals seeking to harness Azure for data processing, analytics, and deriving actionable insights for business growth.

 

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Instructor

AG
4.44 /5

78 Courses

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