We provide course about DP-203: Data Engineering on Microsoft Azure. In this course, you will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks.
Course description:
The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.
Course outline:
• Module 1 - Get started with data engineering on Azure
• Module 2 - Analyze data with Azure Synapse Analytics serverless SQL pools
• Module 3 - Perform data engineering with Azure Synapse Apache Spark Pools
• Module 4 - Work with data warehouses using Azure Synapse Analytics
• Module 5 - Transfer and transform data with Azure Synapse Analytics pipelines
• Module 6 - Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics.
• Module 7 - Implement a data streaming solution with Azure Stream Analytics
• Module 8 - Govern data across an enterprise
• Module 9 - Data engineering with Azure Databricks
Course instructor: Magi Naumova
Margarita Naumova is a very well-known SQL Expert. Magi holds the highest possible SQL Server Technical Certification in the field – Microsoft Certified Master, making her one of the best SQL Server Experts Worldwide. Magi is also a Microsoft Data Platform MVP (Most Valuable Professional). She has more than 20 years of SQL Server and BI technologies consulting and training experience and is a trusted advisor for many large companies in SQL Server Platform Area.
Currently she works as a Managing Partner and Chief SQL Architect of Inspir-it AS, her own newly established Consulting Company in Norway. Margarita is a regular speaker at the largest IT events, SQLBits, SQL Saturday in Europe.
Target audience:
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with an alytical solutions built on Microsoft Azure.
Prerequisites:
To attend this class you should already have fundamentals knowledge of data workloads and technologies, equivalent to the Microsoft Azure Data Fundamentals certification.
Specifically completing:
• AZ-900 - Azure Fundamentals
• DP-900 - Microsoft Azure Data Fundamentals
Language:
• English course material, english speaking instructor
Certification:
This training will help you prepare for exam DP-203: Data Engineering on Microsoft Azure. By passing this exam you will earn the Microsoft Certified: Azure Data Engineer Associate certification.
Uttalelse fra fornøyd kursdeltaker:
«Magi Naumova is a brilliant instructor! The layout of the presentations and demos, along with her profound understanding of all of the technologies, made for a great engaging learning experience.»
- Course delegate