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Microsoft Azure - Data Lake

Build practical skills in designing and operating big data analytics solutions with Microsoft Azure Data Lake. You’ll begin by exploring Azure Data Lake architecture, its core services, and its role in modern data processing. You’ll then construct and execute U-SQL scripts to ingest, filter, transform, aggregate, and distribute structured data at scale. Designed for learners seeking hands-on Azure Data Lake experience, this course connects foundational concepts with an end-to-end analytics workflow. You’ll create reusable views, table-valued functions, and stored procedures; extend query logic with inline C# expressions; and manage U-SQL projects and job submissions in Visual Studio. You’ll also analyze job performance using diagnostics, job graphs, heat maps, and vertex execution views to identify bottlenecks and improve efficiency. The course also shows you how to organize files and directories and manage Azure Data Lake resources through the Azure portal, Azure CLI, and PowerShell. You’ll examine pricing models to support informed resource planning and cost efficiency. By the end, you’ll be able to design, implement, monitor, optimize, and manage Azure Data Lake analytics workflows with greater confidence. Its practical, connected approach makes it ideal for learners who want to build skills across data ingestion, scalable processing, query development, performance analysis, and resource management in one course.

Status: Big Data
Status: File Systems
IntermediateCourse13 hours

Featured reviews

Reviewed Oct 21, 2025

In depth, hands on training on azure data lake on integration, security, data management

Reviewed Jul 17, 2025

It's support structured,semi-structured ,and unstructured data, allowing for storage of diverse data types in their raw format.

Reviewed Feb 10, 2026

Comprehensive and practical Azure Data Lake course with clear guidance on U-SQL, performance tuning, and real-world data analytics scenarios.

Reviewed Nov 5, 2025

An excellent course, practice and hand's on learning course

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