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Optimizing Microsoft Azure Data Solutions
John Savill
John Savill
Azure has a vast array of data services, and in this course you'll explore a number of key areas that will help maximize the utilization of those data services and enable your organization to get the most out of its cloud data service spend.
Read more
Azure has a vast array of data services, and in this course you'll explore a number of key areas that will help maximize the utilization of those data services and enable your organization to get the most out of its cloud data service spend.
Read more
Azure has a vast array of data services, and in this course you'll explore a number of key areas that will help maximize the utilization of those data services and enable your organization to get the most out of its cloud data service spend.
Getting the most out of cloud data service spend in terms of performance is critical for every organization. In this course, Optimizing Microsoft Azure Data Solutions, you will gain the ability to access and optimize a number of key data services in Azure. First, you will learn how to optimize Azure SQL Database and Azure SQL Data Warehouse. Next, you will discover the key optimization considerations related to Cosmos DB and the importance of partitioning data the right way. Finally, you will explore how to achieve maximum performance when using Azure Data Lake and a number of key analysis services. When you’re finished with this course, you will have the skills and knowledge of optimizing Azure data services needed to maximize your Azure data service deployments.
Register for this course and see more details by visiting:
OpenCourser.com/course/4fpgcd/optimizing
What's inside
Syllabus
Course Overview
Core Optimization Concepts
Optimizing Azure SQL Database and Azure Synapse Analytics
Optimizing Azure Cosmos DB
Read more
Syllabus
Course Overview
Core Optimization Concepts
Optimizing Azure SQL Database and Azure Synapse Analytics
Optimizing Azure Cosmos DB
Read more
Optimization Considerations for Data Services
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an understanding of key Azure data services, enabling learners to maximize the efficiency of their organization's data service expenditure
Covers the optimization of various Azure data services, including SQL Database, Data Warehouse, Cosmos DB, Data Lake, and analysis services
Save this course
Save Optimizing Microsoft Azure Data Solutions to your list so you can find it easily later:
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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 Optimizing Microsoft Azure Data Solutions with these
activities:
Review key principles of data warehousing and data analytics
Show steps
Refresh your understanding of the concepts underlying data warehousing and analysis.
Browse courses on
Data Warehousing
Show steps
-
Review the concepts of data modeling, data integration, and data analysis.
-
Explore different data analytics techniques and their applications.
Review SQL basics
Show steps
Refreshing knowledge of SQL will help you follow and understand the course materials more effectively.
Browse courses on
SQL
Show steps
-
Review SQL tutorials and documentation
-
Practice writing basic SQL queries
Review core concepts of relational database optimization
Show steps
Strengthen your foundation in database optimization principles.
Browse courses on
Database Optimization
Show steps
-
Revisit concepts such as indexing, query optimization, and data partitioning.
-
Practice writing efficient SQL queries using joins, filters, and subqueries.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend Azure community meetups or online events
Show steps
Connect with experts and learn about the latest trends in Azure data services.
Show steps
-
Search for Azure meetups or online events in your area or online.
-
Attend the events and actively participate in discussions.
-
Network with other attendees and industry professionals.
Follow along with Azure SQL Database tutorials
Show steps
Tutorials provide a structured environment to practice and solidify your understanding of Azure SQL Database.
Browse courses on
Azure SQL Database
Show steps
-
Find a tutorial on the Microsoft Azure website
-
Follow the steps in the tutorial to create and manage an Azure SQL Database
Optimize Azure SQL Database and Azure Synapse Analytics
Show steps
Enhance your skills in optimizing Azure's relational database services.
Browse courses on
Azure SQL Database
Show steps
-
Review best practices for optimizing Azure SQL Database performance.
-
Apply indexing techniques to improve query performance.
-
Implement partitioning strategies for large data sets.
-
Monitor and troubleshoot performance issues in Azure SQL Database and Azure Synapse Analytics.
Answer questions in the course discussion forum
Show steps
Answering questions in the discussion forum will help you review and reinforce your understanding of the course material.
Show steps
-
Visit the course discussion forum
-
Read through the questions
-
Answer any questions that you can answer
Explore advanced features of Azure Cosmos DB
Show steps
Expand your knowledge of Azure's globally distributed, multi-model database service.
Browse courses on
Azure Cosmos DB
Show steps
-
Follow tutorials on implementing change feeds and triggers in Azure Cosmos DB.
-
Learn about data modeling techniques for Azure Cosmos DB.
-
Explore advanced query capabilities and performance tuning in Azure Cosmos DB.
Practice optimizing Cosmos DB queries
Show steps
Practice will help you develop the skills needed to optimize Cosmos DB queries for performance.
Browse courses on
Cosmos DB
Show steps
-
Create a Cosmos DB account
-
Create a database and container
-
Insert data into the container
-
Write queries to retrieve data from the container
Volunteer at a local data science organization
Show steps
Volunteering will provide you with hands-on experience and allow you to network with other data professionals.
Show steps
-
Find a local data science organization
-
Contact the organization and inquire about volunteering opportunities
-
Attend volunteer events and activities
Build a real-world application using Azure data services
Show steps
Develop a practical understanding by applying Azure data services to a real-world scenario.
Show steps
-
Identify a problem or use case that can be solved with Azure data services.
-
Design an application architecture that incorporates Azure data services.
-
Implement the application using appropriate Azure data services.
-
Test and refine the application to ensure it meets the requirements.
Build a data visualization using Azure Data Lake
Show steps
Creating a data visualization will help you apply your knowledge of Azure Data Lake and data visualization techniques.
Browse courses on
Azure Data Lake
Show steps
-
Gather data from Azure Data Lake
-
Choose a data visualization tool
-
Create a data visualization
Design a data architecture for a specific use case using Azure data services
Show steps
Demonstrate your understanding by designing a complete data architecture solution.
Show steps
-
Analyze the requirements and identify the appropriate Azure data services.
-
Create a diagram or document that outlines the data architecture.
-
Justify your choices for the data services and explain how they meet the requirements.
Contribute to open-source projects related to Azure data services
Show steps
Gain practical experience and contribute to the community by working on real-world projects.
Show steps
-
Identify open-source projects related to Azure data services.
-
Review the project documentation and identify areas where you can contribute.
-
Submit pull requests with your contributions.
Contribute to the Azure Data Services GitHub repository
Show steps
Contributing to the Azure Data Services GitHub repository will provide you with hands-on experience with the latest developments in Azure data services.
Browse courses on
Azure Data Services
Show steps
-
Find an issue to work on
-
Fork the repository
-
Make changes to the code
-
Submit a pull request
Review key principles of data warehousing and data analytics
Show steps
Refresh your understanding of the concepts underlying data warehousing and analysis.
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Review the concepts of data modeling, data integration, and data analysis.
- Explore different data analytics techniques and their applications.
Review SQL basics
Show steps
Refreshing knowledge of SQL will help you follow and understand the course materials more effectively.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL tutorials and documentation
- Practice writing basic SQL queries
Review core concepts of relational database optimization
Show steps
Strengthen your foundation in database optimization principles.
Browse courses on
Database Optimization
Show steps
Show steps
Show steps
- Revisit concepts such as indexing, query optimization, and data partitioning.
- Practice writing efficient SQL queries using joins, filters, and subqueries.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend Azure community meetups or online events
Show steps
Connect with experts and learn about the latest trends in Azure data services.
Show steps
Show steps
Show steps
- Search for Azure meetups or online events in your area or online.
- Attend the events and actively participate in discussions.
- Network with other attendees and industry professionals.
Follow along with Azure SQL Database tutorials
Show steps
Tutorials provide a structured environment to practice and solidify your understanding of Azure SQL Database.
Browse courses on
Azure SQL Database
Show steps
Show steps
Show steps
- Find a tutorial on the Microsoft Azure website
- Follow the steps in the tutorial to create and manage an Azure SQL Database
Optimize Azure SQL Database and Azure Synapse Analytics
Show steps
Enhance your skills in optimizing Azure's relational database services.
Browse courses on
Azure SQL Database
Show steps
Show steps
Show steps
- Review best practices for optimizing Azure SQL Database performance.
- Apply indexing techniques to improve query performance.
- Implement partitioning strategies for large data sets.
- Monitor and troubleshoot performance issues in Azure SQL Database and Azure Synapse Analytics.
Answer questions in the course discussion forum
Show steps
Answering questions in the discussion forum will help you review and reinforce your understanding of the course material.
Show steps
Show steps
Show steps
- Visit the course discussion forum
- Read through the questions
- Answer any questions that you can answer
Explore advanced features of Azure Cosmos DB
Show steps
Expand your knowledge of Azure's globally distributed, multi-model database service.
Browse courses on
Azure Cosmos DB
Show steps
Show steps
Show steps
- Follow tutorials on implementing change feeds and triggers in Azure Cosmos DB.
- Learn about data modeling techniques for Azure Cosmos DB.
- Explore advanced query capabilities and performance tuning in Azure Cosmos DB.
Practice optimizing Cosmos DB queries
Show steps
Practice will help you develop the skills needed to optimize Cosmos DB queries for performance.
Browse courses on
Cosmos DB
Show steps
Show steps
Show steps
- Create a Cosmos DB account
- Create a database and container
- Insert data into the container
- Write queries to retrieve data from the container
Volunteer at a local data science organization
Show steps
Volunteering will provide you with hands-on experience and allow you to network with other data professionals.
Show steps
Show steps
Show steps
- Find a local data science organization
- Contact the organization and inquire about volunteering opportunities
- Attend volunteer events and activities
Build a real-world application using Azure data services
Show steps
Develop a practical understanding by applying Azure data services to a real-world scenario.
Show steps
Show steps
Show steps
- Identify a problem or use case that can be solved with Azure data services.
- Design an application architecture that incorporates Azure data services.
- Implement the application using appropriate Azure data services.
- Test and refine the application to ensure it meets the requirements.
Build a data visualization using Azure Data Lake
Show steps
Creating a data visualization will help you apply your knowledge of Azure Data Lake and data visualization techniques.
Browse courses on
Azure Data Lake
Show steps
Show steps
Show steps
- Gather data from Azure Data Lake
- Choose a data visualization tool
- Create a data visualization
Design a data architecture for a specific use case using Azure data services
Show steps
Demonstrate your understanding by designing a complete data architecture solution.
Show steps
Show steps
Show steps
- Analyze the requirements and identify the appropriate Azure data services.
- Create a diagram or document that outlines the data architecture.
- Justify your choices for the data services and explain how they meet the requirements.
Contribute to open-source projects related to Azure data services
Show steps
Gain practical experience and contribute to the community by working on real-world projects.
Show steps
Show steps
Show steps
- Identify open-source projects related to Azure data services.
- Review the project documentation and identify areas where you can contribute.
- Submit pull requests with your contributions.
Contribute to the Azure Data Services GitHub repository
Show steps
Contributing to the Azure Data Services GitHub repository will provide you with hands-on experience with the latest developments in Azure data services.
Browse courses on
Azure Data Services
Show steps
Show steps
Show steps
- Find an issue to work on
- Fork the repository
- Make changes to the code
- Submit a pull request
Career center
Learners who complete Optimizing Microsoft Azure Data Solutions will develop knowledge and skills
that may be useful to these careers:
Database Engineer
Database Engineer
A Database Engineer designs, implements, and manages an organization's data. This course can help you get started with this career by teaching you how to work with various Azure SQL Database and Azure Cosmos DB technologies. It will also help you gain the necessary skills to optimize the performance of your databases, which will save your organization time and money.
Data Architect
Data Architect
A Data Architect designs and implements data management solutions to meet an organization's needs. This course can help you get started with this career by teaching you how to work with various Azure data services including SQL Database, Synapse Analytics, Cosmos DB, and Data Lake. You will also gain the skills to optimize the performance of these services, which will help you ensure your data is always available and performant.
Data Scientist
Data Scientist
A Data Scientist uses machine learning and other techniques to analyze data and extract insights. This course can help you get started with this career by teaching you how to work with various Azure data services to access, prepare, and analyze data. You will also gain the skills to optimize the performance of these services, which will save you time and money.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data to help companies make better decisions. This course can help you get started with this career by teaching you how to work with various Azure data services to access, prepare, and analyze data. You will also gain the skills to optimize the performance of these services, which will save you time and money.
Data Engineer
Data Engineer
A Data Engineer builds, maintains, and manages the infrastructure that supports data storage, processing, and analysis. This course can help you get started with this career by teaching you how to work with various Azure data services, including SQL Database, Synapse Analytics, and Cosmos DB. You will also gain the skills to optimize the performance of these services, which will help ensure your data is always available and performant.
Cloud Architect
Cloud Architect
A Cloud Architect designs and implements cloud-based solutions to meet an organization's needs. This course can help you get started with this career by teaching you how to work with various Azure services, including those used for data storage, processing, and analytics. You will also gain the skills to optimize the performance of these services, which will help ensure your applications are always available and performant.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course can help you get started with this career by teaching you how to work with various Azure services, including those used for data storage, processing, and analytics.
Systems Engineer
Systems Engineer
A Systems Engineer designs and implements systems to meet an organization's needs. This course may be helpful in your role by teaching you how to work with various Azure data services, including SQL Database, Synapse Analytics, and Cosmos DB.
Network Architect
Network Architect
A Network Architect designs and implements network infrastructure. This course may be helpful in your role by teaching you how to optimize the performance of Azure SQL Database and Azure Cosmos DB over a network.
Performance Engineer
Performance Engineer
A Performance Engineer optimizes the performance of software applications. This course may be helpful in your role by teaching you how to optimize the performance of Azure SQL Database and Azure Cosmos DB.
Information Security Analyst
Information Security Analyst
An Information Security Analyst assesses and mitigates security risks. This course may be helpful in your role by teaching you how to optimize the security of Azure SQL Database and Azure Cosmos DB.
Database Administrator
Database Administrator
A Database Administrator manages and maintains an organization's databases. This course may be helpful in your role by teaching you how to optimize the performance of Azure SQL Database and Azure Cosmos DB.
Technical Support Engineer
Technical Support Engineer
A Technical Support Engineer provides technical support to users of software applications. This course may be helpful in your role by teaching you how to troubleshoot and resolve issues with Azure SQL Database and Azure Cosmos DB.
For more career information including salaries, visit:
OpenCourser.com/course/4fpgcd/optimizing
Reading list
We've selected five 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
Optimizing Microsoft Azure Data Solutions.
Save
Provides a comprehensive overview of data-intensive applications, including their design and implementation. It great resource for those who want to build scalable and performant data-intensive applications.
Provides a comprehensive overview of Azure cloud services, including compute, storage, networking, and security. It good starting point for those new to Azure.
Provides a comprehensive overview of the principles and practices of scalability. While it is not specific to Azure data services, it provides valuable insights into how to design and implement scalable data solutions.
Provides more background on data analytics, machine learning, and AI. Use this as a supplement to the existing course.
Save
Provides a set of recipes and examples that demonstrate how to use the Azure Data Platform for various tasks such as data integration, data warehousing, and data analytics. It offers additional practical guidance that complements the theoretical concepts covered in the course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4fpgcd/optimizing
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Time
166 hours
Level
Intermediate
Via
Pluralsight
Instructor
John Savill
Language
English
Good to know
Provides an understanding of key Azure data services, enabling learners to maximize the efficiency of their organization's data service expenditure
Covers the optimization of various Azure data services, including SQL Database, Data Warehouse, Cosmos DB, Data Lake, and analysis services
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