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Mike McQuillan

The Big Data revolution has exposed the limitations of traditional data processing models like cubes and ETL. Learn a different way of doing things with the Azure Data Lake, using the U-SQL language to query raw data files and create databases.

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The Big Data revolution has exposed the limitations of traditional data processing models like cubes and ETL. Learn a different way of doing things with the Azure Data Lake, using the U-SQL language to query raw data files and create databases.

Building good reporting structures can be difficult, especially when those pesky users keep asking for new reports. Throw Big Data into the mix and things become a lot more complicated. What if you didn’t need to build any data models at all, or you could build models that could be quickly put up and torn down? In this course, Introduction to the Azure Data Lake and U-SQL, you'll be introduced to Azure Data Lake and the U-SQL language, and learn how to abandon ETL. First, you'll delve into querying by using the powerful U-SQL language, built straight into the Azure Data Lake. Next, you'll discover how to throw your files into the Data Lake and query them directly without needing to load them into a database. Finally, you'll learn about how Azure Data Lakes offers the best of both worlds, with support for unstructured files and structured databases. By the end of this course, you’ll not only know what a Data Lake is, you’ll know how to populate it, query it, and develop for it using Visual Studio. Software required: Visual Studio 2017 Community Edition and Azure subscription (optional).

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What's inside

Syllabus

Course Overview
Abandoning ETL with an Azure Data Lake and U-SQL
Tool Time – Saving Money with Visual Studio
Cutting Development Timescales
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Building Dams - Structuring the Data Lake
Converting and Manipulating Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores emerging database systems, which are highly relevant to industry
Develops databases and data structures, which are core skills for data science
Taught by Mike McQuillan, who is recognized for their work in data science

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to the Azure Data Lake and U-SQL with these activities:
Explore Azure Data Lake tutorials
Follow online tutorials provided by Microsoft to get hands-on experience with Azure Data Lake before diving into the course content.
Browse courses on Azure Data Lake
Show steps
  • Find a suitable tutorial on the Microsoft website
  • Follow the steps in the tutorial to create a Data Lake
  • Upload some sample data to your Data Lake
Learn relational database fundamentals
Start by exploring relational databases to better grasp data modeling concepts.
Browse courses on Databases
Show steps
  • Take a beginner-friendly course on relational databases.
  • Complete a tutorial on data modeling.
  • Read articles and blog posts about database design principles.
Read "Cloud Computing: Concepts, Technology and Architecture"
Review and understand cloud computing concepts to understand how Azure Data Lake fits into the broader cloud ecosystem.
Show steps
  • Read Chapters 1 and 2
  • Complete the exercises at the end of each chapter
17 other activities
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Practice using SQL
Review basic SQL syntax and practice writing queries to refresh your skills before starting the course.
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Show steps
  • Create a practice database
  • Write queries to select, insert, update, and delete data
  • Run your queries and verify the results
Review Basic Databases
Refresh your knowledge of basic database concepts, such as data modeling, query languages, and database administration, to ensure a solid foundation for learning about Azure Data Lake and U-SQL.
Browse courses on Relational Databases
Show steps
  • Review database terminology and concepts
  • Go through examples of data modeling using ER diagrams
  • Practice writing basic SQL queries
Join a study group focused on big data with Azure
Collaborate with peers to enhance your understanding of big data with Azure.
Browse courses on Big Data
Show steps
  • Find or create a study group.
  • Set regular meeting times.
  • Discuss course topics and work on assignments together.
  • Share resources and knowledge with each other.
Complete Azure Data Lake Tutorial (Beginner)
Follow a guided tutorial to gain practical experience with Azure Data Lake.
Browse courses on Azure Data Lake
Show steps
  • Go to Microsoft Learn
  • Search for "Azure Data Lake Tutorial"
  • Complete the "Create an Azure Data Lake Gen2 storage account" module
Practice U-SQL queries
Reinforce your understanding of U-SQL syntax and query construction by practicing writing and executing queries.
Browse courses on U-SQL
Show steps
  • Review U-SQL syntax and documentation
  • Create a sample data set in Azure Data Lake
  • Write U-SQL queries to extract, filter, and aggregate data
Attend a workshop on big data analytics with Azure
Attend a workshop to learn about big data analytics using Azure Data Lake and U-SQL.
Browse courses on Big Data Analytics
Show steps
  • Research and find a reputable workshop.
  • Register for the workshop.
  • Attend the workshop and actively participate.
  • Follow up with the workshop organizers after the event.
Build a simple Data Lake and U-SQL query
Hands-on practice will help you grasp the core concepts of the course and solidify your understanding.
Browse courses on Azure Data Lake
Show steps
  • Create an Azure Data Lake account
  • Upload sample data to your Data Lake
  • Write a U-SQL query to retrieve data from your Data Lake
  • Run your query and analyze the results
Join a Study Group
Collaborate with peers to discuss concepts, share knowledge, and work through problems together.
Browse courses on Azure Data Lake
Show steps
  • Find or create a study group
  • Meet regularly to discuss course material and work on projects
Practice U-SQL Queries
Reinforce your understanding of U-SQL through repetitive exercises.
Browse courses on U-SQL
Show steps
  • Find U-SQL practice problems online
  • Solve 10 practice problems
  • Review your answers
Follow U-SQL Tutorials
Complete tutorials on the U-SQL language to gain hands-on experience with querying raw data files and creating databases in Azure Data Lake.
Browse courses on U-SQL
Show steps
  • Find tutorials on the Microsoft Learn platform
  • Follow the step-by-step instructions
  • Experiment with different U-SQL queries
Practice U-SQL Queries
Reinforce your understanding of U-SQL by practicing writing queries on sample data sets, experimenting with different operators and functions.
Browse courses on U-SQL
Show steps
  • Create a practice data set
  • Write queries to extract specific data
  • Test your queries with different data sets
Build a sample data lake using Azure Data Lake
Put your knowledge into practice by building your own data lake using Azure Data Lake.
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Show steps
  • Create an Azure Data Lake account.
  • Ingest data into your data lake.
  • Query your data using U-SQL.
  • Create a data visualization based on your query results.
Practice writing U-SQL queries
Solidify your understanding of U-SQL by practicing writing queries.
Browse courses on U-SQL
Show steps
  • Find a dataset to practice with.
  • Write U-SQL queries to retrieve, filter, and aggregate data.
  • Test your queries and troubleshoot any errors.
  • Share your queries with others for feedback.
Develop a data pipeline using Azure Data Lake and U-SQL
Build a practical understanding of how to design and implement data pipelines using Azure Data Lake and U-SQL.
Show steps
  • Define the data ingestion, processing, and storage requirements
  • Create an Azure Data Lake account and store data
  • Develop U-SQL scripts for data transformation and analysis
  • Deploy and monitor the data pipeline
Mentor a Junior Data Engineer
Solidify your understanding of Azure Data Lake by mentoring someone who is new to the field.
Browse courses on Mentoring
Show steps
  • Volunteer to mentor at a local university or online platform
  • Pair with a junior data engineer and provide guidance on Azure Data Lake
Develop a U-SQL Project
Apply your U-SQL skills by creating a project that involves querying and manipulating data in Azure Data Lake, demonstrating your ability to work with real-world data.
Browse courses on U-SQL
Show steps
  • Identify a problem or dataset
  • Design a U-SQL solution
  • Develop and test the U-SQL code
  • Deploy the solution in Azure Data Lake
Build a Data Lake Pipeline
Apply your skills to build a real-world data lake pipeline for a specific use case.
Browse courses on Azure Data Lake
Show steps
  • Identify a use case and data sources
  • Design the data lake architecture
  • Implement the data ingestion and processing pipeline
  • Test and deploy the pipeline

Career center

Learners who complete Introduction to the Azure Data Lake and U-SQL will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use data to make informed decisions and solve problems. This course introduces the Azure Data Lake and U-SQL, which are powerful tools for querying and manipulating data. By learning these tools, you can develop the skills needed to succeed as a Data Analyst. You'll be able to query large datasets, build data models, and create reports that can help your organization make better decisions.
Data Scientist
Data Scientists use data to build predictive models and solve complex problems. This course introduces the Azure Data Lake and U-SQL, which are powerful tools for querying and manipulating data. By learning these tools, you can develop the skills needed to succeed as a Data Scientist. You'll be able to build data pipelines, train machine learning models, and create visualizations that can help your organization make better decisions.
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course introduces the Azure Data Lake, which is a cloud-based data storage and processing platform. By learning about the Azure Data Lake, you can develop the skills needed to succeed as a Data Engineer. You'll be able to create and manage data lakes, build data pipelines, and optimize data processing performance.
Big Data Engineer
Big Data Engineers design and build systems for processing and analyzing large datasets. This course introduces the Azure Data Lake, which is a cloud-based data storage and processing platform. By learning about the Azure Data Lake, you can develop the skills needed to succeed as a Big Data Engineer. You'll be able to create and manage data lakes, build data pipelines, and optimize data processing performance.
Database Administrator
Database Administrators manage and maintain databases. This course introduces the Azure Data Lake, which is a cloud-based data storage and processing platform. By learning about the Azure Data Lake, you can develop the skills needed to succeed as a Database Administrator. You'll be able to create and manage data lakes, build data pipelines, and optimize data processing performance.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course introduces the U-SQL language, which is a powerful tool for querying and manipulating data. By learning U-SQL, you can develop the skills needed to succeed as a Software Engineer. You'll be able to build data pipelines, create data models, and develop applications that can help your organization make better decisions.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. This course introduces the Azure Data Lake, which is a cloud-based data storage and processing platform. By learning about the Azure Data Lake, you can develop the skills needed to succeed as a Cloud Architect. You'll be able to design and implement data lakes, build data pipelines, and optimize data processing performance.
Data Architect
Data Architects design and implement data management solutions. This course introduces the Azure Data Lake, which is a cloud-based data storage and processing platform. By learning about the Azure Data Lake, you can develop the skills needed to succeed as a Data Architect. You'll be able to design and implement data lakes, build data pipelines, and optimize data processing performance.
Business Analyst
Business Analysts analyze business processes and develop solutions to improve efficiency. This course introduces the Azure Data Lake and U-SQL, which are powerful tools for querying and manipulating data. By learning these tools, you can develop the skills needed to succeed as a Business Analyst. You'll be able to query large datasets, build data models, and create reports that can help your organization make better decisions.
Project Manager
Project Managers plan and execute projects. This course may be useful for Project Managers who are working on data-related projects. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to manage data-related projects more effectively. You'll be able to understand the technical aspects of data projects, communicate with technical team members, and make informed decisions about data management.
Data Visualization Analyst
Data Visualization Analysts create visualizations that communicate data insights. This course may be useful for Data Visualization Analysts who want to learn more about querying and manipulating data. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to create more effective data visualizations. You'll be able to query large datasets, build data models, and create visualizations that can help your organization make better decisions.
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course may be useful for Machine Learning Engineers who want to learn more about querying and manipulating data. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to build and maintain more effective machine learning models. You'll be able to query large datasets, build data models, and create visualizations that can help you improve the performance of your machine learning models.
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. This course may be useful for Data Governance Analysts who want to learn more about querying and manipulating data. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to create and implement more effective data governance policies and procedures. You'll be able to query large datasets, build data models, and create visualizations that can help you understand and manage your organization's data.
Information Architect
Information Architects design and manage information systems. This course may be useful for Information Architects who want to learn more about querying and manipulating data. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to design and manage more effective information systems. You'll be able to query large datasets, build data models, and create visualizations that can help you understand and manage your organization's data.
Knowledge Management Specialist
Knowledge Management Specialists develop and manage knowledge management systems. This course may be useful for Knowledge Management Specialists who want to learn more about querying and manipulating data. By learning about the Azure Data Lake and U-SQL, you can develop the skills needed to create and manage more effective knowledge management systems. You'll be able to query large datasets, build data models, and create visualizations that can help you understand and manage your organization's knowledge.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to the Azure Data Lake and U-SQL.
Provides a collection of recipes for solving common problems with Azure Data Lake and Analytics. It covers a wide range of topics, from data ingestion to data visualization.
Provides a comprehensive guide to managing and scheduling big data applications with Apache Hadoop YARN. It covers the basics of YARN, as well as advanced topics such as capacity management and resource allocation.
Provides comprehensive background on the history of data and its importance in the modern world. It also discusses the challenges and opportunities presented by Big Data.
Is strong on data processing concepts, design, and implementation. The use of the term data lake is not specifically mentioned, but many of the principles carry over.
Serves as an excellent introduction to the foundational concepts of Data Lake and U-SQL. It provides an accessible overview of the field, making it a valuable background resource for beginners.
High-level overview of Big Data concepts and implementation. It serves as good background reading to the course topic.
This comprehensive book covers database management concepts and techniques. It offers a deeper understanding of the underlying principles relevant to the course.
This introduction to data lakes is for the beginner. It will not be as useful as other books for most of the students taking the course.
Similar to the previous book, this serves as a comprehensive reference for Apache Spark. It offers insights into an alternative technology for Big Data processing.
Introduces data visualization principles and techniques. While not directly related to U-SQL, it provides valuable insights for presenting data insights effectively.
While this book deals with Microsoft Excel, the principles of pivot tables, charts, and other data analysis tools are applicable to Azure Data Lake for the purpose of data analysis.
Good resource for using Python for data analysis. It is less about the Azure Data Lake than it is about the Python programming language and the associated data analysis libraries.
Explores the integration of AI techniques into data science. While not directly related to Azure Data Lake or U-SQL, it provides insights into the broader landscape of data analytics.

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