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Microsoft Azure - Data Lake

EDUCBA via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

6 weeks, 2 hours a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English, Kazakh, Arabic, German, Korean, Portuguese, Japanese, Italian, Indonesian, French, Spanish

Found in

Part of

Microsoft Azure: Cloud Solutions Mastery

Overview

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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.

Syllabus

Foundations of Azure Data Lake
- This module introduces learners to the core concepts and foundational setup of Microsoft Azure Data Lake. It explores the motivation behind using data lakes in the era of big data, the components that make up the Azure Data Lake ecosystem, and walks learners through setting up an analytics account and essential services. By the end of the module, learners will have a conceptual and practical understanding of Azure Data Lake’s architecture and its role in modern data processing workflows.
Mastering USQL and Data Processing
- This module delves into the fundamentals and practical applications of U-SQL within Azure Data Lake Analytics. Learners will gain a thorough understanding of how to write and optimize U-SQL scripts, manage Analytics Units for performance tuning, and apply filtering techniques to datasets. The module also introduces learners to U-SQL job execution stages, the structure and syntax of U-SQL language, and schema handling concepts such as "Schema on Read". By the end of this module, learners will be able to write, execute, and interpret U-SQL scripts effectively within real-world big data scenarios.
Data Aggregation and File Handling
- This module focuses on handling larger volumes of data in Azure Data Lake by exploring aggregation techniques, multi-file ingestion, and distributed processing methods using U-SQL. Learners will develop the ability to group and summarize data effectively, troubleshoot aggregation logic, ingest and process multiple structured files, and understand various data distribution strategies such as hash, range, and round-robin. By the end of this module, learners will be equipped to manage and transform scalable datasets using advanced features of Azure Data Lake Analytics.
Advanced Query Development
- This module explores advanced techniques for querying and managing data within Azure Data Lake using U-SQL. Learners will gain hands-on experience working with structured objects such as views, table-valued functions, and stored procedures, while also incorporating inline C# functions for enhanced query logic. The module emphasizes reusability, modular design, and dynamic data manipulation strategies to improve analytical workflows in real-world data lake environments.
Development and Job Monitoring
- This module guides learners through developing, deploying, and monitoring U-SQL jobs using Visual Studio and Azure Data Lake Analytics. It introduces project setup, job submission, and custom code integration using Visual Studio tools. Learners will explore job diagnostics, performance analysis with job graphs and heat maps, and advanced debugging with the vertex execution view. The module concludes with tools for evaluating job efficiency and identifying execution bottlenecks, empowering users to optimize big data workflows.
Data Store Management and Pricing
- This module provides a comprehensive overview of accessing, managing, and organizing data within Azure Data Lake using both graphical and command-line tools. Learners explore various access methods including Azure CLI and PowerShell, understand how to create, upload, and manage files and directories in the Data Lake Store, and perform operations such as renaming and deleting accounts. The module also explains Azure Data Lake pricing models and ends with a concise summary to reinforce best practices and service structure.