[Free] Mastering Azure Data Engineering: Part 8 - Azure Skills
Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203 – Free Course
What you’ll learn
- Build end-to-end data pipelines in Azure Synapse Analytics, integrating various data sources and services.
- Create compelling visualizations using Power BI to communicate insights effectively to stakeholders.
- Gain hands-on experience with Microsoft Fabric for deploying and managing cloud applications efficiently.
- Explore the features and functionalities of Azure SQL Database and Azure Database for PostgreSQL for scalable data storage and management.
Requirements
- To take this course, learners should have: 1. Basics of cloud concepts. 1. Familiarity with SQL for data querying and manipulation. 3. Access to an Azure free trial account for hands-on practice.
Description
In this course module, participants will further their mastery of Azure Data Engineering by focusing on key Azure skills critical for data professionals. Part 8 of the series delves into essential Azure services tailored for advanced data engineering tasks. Through a blend of comprehensive lectures, hands-on labs, and practical case studies, learners will deepen their understanding of building robust data pipelines in Azure Synapse Analytics and harnessing the fundamentals of data visualization with Power BI. By the course’s conclusion, students will possess the expertise to architect efficient data pipelines and create impactful visualizations, empowering them to drive data-driven insights within their organizations.Course Objectives:
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Construct scalable and efficient data pipelines in Azure Synapse Analytics to facilitate seamless data processing and analytics workflows.
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Explore the fundamentals of data visualization using Power BI, mastering techniques to transform raw data into compelling visual insights.
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Gain practical experience in implementing advanced data engineering solutions, leveraging Azure Synapse Analytics and Power BI to address real-world data challenges.
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Develop proficiency in designing end-to-end data solutions, from data ingestion to visualization, ensuring data-driven decision-making across the organization.
Target Audience:
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Data Engineers
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Data Analysts
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Business Intelligence Professionals
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IT Specialists seeking to advance their Azure data engineering competencies
Prerequisites:
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Intermediate knowledge of Azure services and cloud computing concepts.
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Familiarity with data engineering principles, including data pipelines and visualization techniques.
Delivery Format:
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Instructor-led training sessions
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Hands-on labs and exercises
