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Design Principles for Partitioning with Azure

Axel Sirota

Partitioning is the main capability that can ensure a data platform can scale limitlessly. This course will teach you how to design an effective partition strategy for each use case.

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Partitioning is the main capability that can ensure a data platform can scale limitlessly. This course will teach you how to design an effective partition strategy for each use case.

Partitioning is one of the key solutions to scale a data platform both in throughput and availability. In this course, Design Principles for Partitioning with Azure, you’ll learn to architecture partition strategies for each Azure Data Service. First, you’ll explore what partition is and when it is useful. Next, you’ll discover how to design partitioning for performance. Finally, you’ll learn how to implement partitioning and distribution in each Azure service. When you’re finished with this course, you’ll have the skills and knowledge of partition strategies needed to scale your organization’s data platform effortlessly.

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What's inside

Syllabus

Course Overview
Understanding Key Concepts for Designing a Partition Strategy
Implement Partition Design Strategy for Effective Performance
Evaluate Partition Strategy with Microsoft Azure
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational principles for understanding partitioning fundamentals
Taught by industry experts with proven knowledge in partitioning design
Provides practical implementation guidance for Azure Data Services
Course is highly relevant to data platform architects and engineers
Prerequisites are not explicitly stated, learners should verify prior knowledge

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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 Design Principles for Partitioning with Azure with these activities:
Course Material Review
Refresh your knowledge of the course material and prepare for the upcoming lessons.
Show steps
  • Review course notes, assignments, and quizzes.
  • Summarize key concepts and make notes for better retention.
  • Identify areas where you need further clarification or reinforcement.
Practice Partition Strategies
Sharpen your partitioning knowledge by reviewing familiar concepts before starting the course.
Browse courses on Data Partitioning
Show steps
  • Review the basics of data partitioning, including its benefits and limitations.
  • Explore different partitioning techniques, such as range partitioning, hash partitioning, and round-robin partitioning.
  • Consider the advantages and disadvantages of each partitioning technique and when to use them.
Azure Partitioning Tutorials
Enhance your partitioning skills by following guided tutorials specific to Azure Data Services.
Browse courses on Azure Data Services
Show steps
  • Locate official Microsoft Azure documentation and tutorials on data partitioning.
  • Follow step-by-step instructions to implement partitioning techniques in Azure SQL Database.
  • Explore case studies and examples to understand real-world applications of partitioning in Azure Cosmos DB.
Five other activities
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Partitioning Study Group
Enhance your understanding through collaborative learning and discussion.
Browse courses on Data Partitioning
Show steps
  • Form a study group with classmates or fellow practitioners.
  • Regularly meet to discuss course concepts, share insights, and solve problems together.
  • Present your partitioning strategies to the group for feedback and constructive criticism.
Partitioning Exercises
Solidify your understanding of partitioning by applying it to practical scenarios.
Browse courses on Data Partitioning
Show steps
  • Design a partitioning strategy for a specific data set based on its size, access patterns, and performance requirements.
  • Implement the partitioning strategy using Azure Data Services like Azure SQL Database or Azure Cosmos DB.
  • Evaluate the performance of the implemented partitioning strategy using metrics such as query response time and throughput.
Azure Data Partitioning Workshop
Expand your partitioning knowledge and network with experts by attending a specialized workshop.
Browse courses on Azure Data Services
Show steps
  • Research and identify relevant Azure Data Partitioning workshops.
  • Register and attend the workshop, actively participating in discussions and exercises.
  • Follow up with speakers and attendees to expand your professional network.
Partitioning Design Document
Demonstrate your proficiency in partitioning by creating a comprehensive design document.
Browse courses on Data Partitioning
Show steps
  • Identify the data set to be partitioned and analyze its characteristics.
  • Develop a partitioning strategy that meets the specific requirements of the data set.
  • Document the partitioning strategy, including the chosen technique, partitioning scheme, and key considerations.
Contribute to Partitioning Projects
Deepen your understanding of partitioning by contributing to open-source projects.
Browse courses on Data Partitioning
Show steps
  • Explore open-source projects related to partitioning in Azure Data Services.
  • Identify areas where you can contribute, such as code improvements, documentation updates, or issue resolution.
  • Submit pull requests or contribute to discussions to share your knowledge and expertise.

Career center

Learners who complete Design Principles for Partitioning with Azure will develop knowledge and skills that may be useful to these careers:
Database Architect
A Database Architect plans and implements database systems, including data partitioning strategies, to meet the needs of an organization. This course teaches you the principles of partitioning, including how to design and implement partitioning for Azure Data Services. This knowledge is essential for Database Architects who want to design and implement scalable and performant database systems.
See salaries and explore the career path for Database Architect
Data Architect
Data Architects design and implement data management solutions, including data partitioning strategies. This course teaches you the principles of partitioning, including how to design and implement partitioning for Azure Data Services. This knowledge is essential for Data Architects who want to design and implement scalable and performant data management solutions.
See salaries and explore the career path for Data Architect
Software Engineer
Software Engineers design, develop, and implement software applications. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant software applications. This knowledge is essential for Software Engineers who want to design and develop software applications that can handle large amounts of data.
See salaries and explore the career path for Software Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and data platforms. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant data pipelines and data platforms. This knowledge is essential for Data Engineers who want to design and build data pipelines and data platforms that can handle large amounts of data.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to solve business problems. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant data science solutions. This knowledge is essential for Data Scientists who want to design and implement data science solutions that can handle large amounts of data.
See salaries and explore the career path for Data Scientist
Business Intelligence Analyst
Business Intelligence Analysts use data to make informed business decisions. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant business intelligence solutions. This knowledge is essential for Business Intelligence Analysts who want to design and implement business intelligence solutions that can handle large amounts of data.
See salaries and explore the career path for Business Intelligence Analyst
ETL Developer
ETL Developers design, develop, and implement ETL (extract, transform, and load) processes. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant ETL processes. This knowledge is essential for ETL Developers who want to design and implement ETL processes that can handle large amounts of data.
See salaries and explore the career path for ETL Developer
Database Administrator
Database Administrators manage and maintain database systems. This course teaches you the principles of partitioning, which is a key concept in designing and maintaining scalable and performant database systems. This knowledge is essential for Database Administrators who want to manage and maintain database systems that can handle large amounts of data.
See salaries and explore the career path for Database Administrator
Data Analyst
Data Analysts use data to analyze business trends and make informed decisions. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant data analysis solutions. This knowledge is essential for Data Analysts who want to design and implement data analysis solutions that can handle large amounts of data.
See salaries and explore the career path for Data Analyst
Technical Architect
Technical Architects design and implement the technical infrastructure of an organization. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant technical infrastructure. This knowledge is essential for Technical Architects who want to design and implement technical infrastructure that can handle large amounts of data.
See salaries and explore the career path for Technical Architect
Cloud Architect
Cloud Architects design and implement cloud-based solutions. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant cloud-based solutions. This knowledge is essential for Cloud Architects who want to design and implement cloud-based solutions that can handle large amounts of data.
See salaries and explore the career path for Cloud Architect
Systems Analyst
Systems Analysts analyze and design business systems. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant business systems. This knowledge is essential for Systems Analysts who want to design and implement business systems that can handle large amounts of data.
See salaries and explore the career path for Systems Analyst
Software Developer
Software Developers design, develop, and implement software applications. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant software applications. This knowledge is essential for Software Developers who want to design and develop software applications that can handle large amounts of data.
See salaries and explore the career path for Software Developer
DevOps Engineer
DevOps Engineers design and implement the DevOps processes of an organization. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant DevOps processes. This knowledge is essential for DevOps Engineers who want to design and implement DevOps processes that can handle large amounts of data.
See salaries and explore the career path for DevOps Engineer
Information Technology Manager
Information Technology Managers plan and implement the information technology infrastructure of an organization. This course teaches you the principles of partitioning, which is a key concept in designing scalable and performant information technology infrastructure. This knowledge is essential for Information Technology Managers who want to design and implement information technology infrastructure that can handle large amounts of data.
See salaries and explore the career path for Information Technology Manager

Reading list

We've selected seven 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 Design Principles for Partitioning with Azure.
Cover image
Readings in Artificial Intelligence and Databases
Save
Provides a comprehensive overview of data partitioning, including theoretical foundations, practical techniques, and case studies, making it a valuable reference for understanding the principles and applications of partitioning.
Readings in Artificial Intelligence and Databases
Paperback
Check
Readings in Artificial Intelligence and Databases
Kindle Edition
Check
Cover image
HPI Future SOC Lab
Save
Covers performance tuning for big data systems, including a chapter on partitioning, providing practical guidance on how to optimize partitioning strategies for performance.
HPI Future SOC Lab
Paperback
Check
HPI Future SOC Lab
Kindle Edition
Check
Cover image
Advanced Analytics with PySpark
Save
Covers Hadoop and includes a chapter on partitioning, providing a practical understanding of how partitioning is used in Hadoop-based big data systems.
Advanced Analytics with PySpark: Patterns for...
Paperback
$$
Advanced Analytics with PySpark
Kindle Edition
$$
Cover image
Designing Data-Intensive Applications
Save
Covers the fundamental principles and design patterns for building scalable, reliable, and maintainable data-intensive applications.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Hadoop: The Definitive Guide
Save
This widely used textbook provides a comprehensive introduction to Hadoop, including a chapter on partitioning, making it a useful reference for understanding the basics of partitioning and how it is used in Hadoop.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
NoSQL Distilled
Save
Covers data modeling techniques for NoSQL databases, including partitioning strategies.
NoSQL Distilled: A Brief Guide to the Emerging...
Kindle Edition
$$
Cover image
The Kimball Group Reader
Save
Provides a solid foundation in data warehousing concepts and techniques, including partitioning strategies for data warehouses.
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check

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Course image
Time
52 hours
Level
Introductory
Via
Pluralsight
Instructor
Axel Sirota
Language
English
Good to know
Develops foundational principles for understanding partitioning fundamentals
Taught by industry experts with proven knowledge in partitioning design
Provides practical implementation guidance for Azure Data Services
Course is highly relevant to data platform architects and engineers
Prerequisites are not explicitly stated, learners should verify prior knowledge
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