Master Azure data engineering and prepare for Microsoft's DP-203 certification exam with comprehensive training in data processing and analytics.
Master Azure data engineering and prepare for Microsoft's DP-203 certification exam with comprehensive training in data processing and analytics.
This comprehensive course prepares IT professionals for the Microsoft DP-203: Data Engineering on Azure certification exam. Designed for intermediate-level learners, the program covers essential aspects of Azure data engineering, including Azure Databricks, Apache Spark, and Azure Synapse pipelines. Students learn to design, implement, and optimize data storage solutions while mastering data ingestion, transformation, and processing techniques. The course emphasizes hands-on experience with Azure tools and services, preparing candidates for real-world data engineering challenges. Through practical assignments and detailed modules, learners develop expertise in data pipeline operationalization, storage optimization, and platform monitoring.
Instructors:
English
What you'll learn
Explain how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines
Describe how to ingest, clean, and transform data using Azure Synapse
Identify data processing solutions using Azure Databricks and manage pipelines in Azure Synapse pipelines
Discuss the steps to secure, optimize, and monitor data storage using Azure Synapse Analytics
Skills you'll gain
This course includes:
102 Minutes PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course prepares learners for the Microsoft DP-203 Data Engineering on Azure certification exam. The curriculum covers essential aspects of Azure data engineering, including the design and implementation of data storage solutions, data processing techniques, and optimization strategies. Students learn to work with key Azure tools such as Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage Gen2. The course focuses on practical skills in data partitioning, pipeline management, security implementation, and performance optimization. Through hands-on assignments and detailed modules, learners develop expertise in data transformation, batch and stream processing, and monitoring data storage systems.
Designing and implementing data storage and data exploration layer
Module 1 · 52 Minutes to complete
Developing data processing
Module 2 · 1 Hours to complete
Securing, monitoring, and optimizing data storage and data processing
Module 3 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Leaders in Technology Education and Professional Development
SkillUp EdTech has established itself as a comprehensive education platform offering cutting-edge courses across multiple technology domains. Their course catalog spans crucial areas including Data Science, Cloud Computing, Artificial Intelligence, Blockchain, and Professional Certifications. Their teaching methodology combines theoretical knowledge with practical applications through hands-on labs, capstone projects, and real-world case studies. The platform offers both self-paced and instructor-led options, featuring one-on-one mentoring, live classes, and peer discussion forums. Their curriculum is designed in collaboration with industry leaders and academia, ensuring content remains relevant and aligned with current market demands. The platform specializes in certification preparation for various professional qualifications including CAPM, PMI-PgMP, CSM, and various Microsoft certifications. Their Generative AI series covers applications across multiple domains including HR, Business Intelligence, Product Management, and Project Management. The platform maintains a 67% course completion rate, significantly higher than the industry average, attributed to their human-centered approach and comprehensive support system. Their partnerships with major technology companies ensure course content reflects current industry standards and practices, while their focus on practical experience through projects and labs helps students develop job-ready skills
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