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Optimizing Microsoft Azure Data Solutions

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.

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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.

This course is no longer available. Find something similar by browsing:
Azure SQL Database Azure SQL Data Warehouse Azure Synapse Analytics Cosmos DB Data Partitioning Azure Data Lake Azure Analysis Services

What's inside

Syllabus

Course Overview
Core Optimization Concepts
Optimizing Azure SQL Database and Azure Synapse Analytics
Optimizing Azure Cosmos DB
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Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Optimizing azure data solutions performance

According to learners, this course offers practical strategies for optimizing Microsoft Azure data solutions, specifically covering services like Azure SQL Database, Synapse Analytics, and Cosmos DB. Students find the content provides actionable insights into improving performance and managing cloud costs. While generally well-received for its clear explanations and relevant examples, some suggest keeping pace with Azure's rapid evolution is a challenge, indicating potential for certain content to become outdated quickly without regular updates.
Benefits those with foundational Azure experience.
"Having a basic understanding of Azure data services before starting this course was very helpful for me."
"I think beginners might struggle without prior exposure to Azure concepts; it's not for absolute novices."
"This course is best for someone already familiar with the Azure ecosystem and looking to deepen their optimization skills."
Effectively covers key Azure data services and their optimization.
"I appreciated the depth of coverage on Azure SQL, Synapse, and Cosmos DB, all critical services."
"The course touched on all the major Azure data services I work with daily, which made it highly relevant."
"It was great to see a dedicated section on Azure Data Lake optimization, often overlooked in other courses."
Provides actionable strategies for enhancing performance and managing costs.
"I found the techniques for optimizing Azure SQL Database immediately applicable to my projects."
"The tips on Cosmos DB partitioning really helped me understand how to get better performance."
"This course provided practical solutions to real-world Azure data challenges, which was exactly what I needed."
Requires frequent updates due to rapid Azure platform changes.
"With Azure changing so fast, some content felt like it might become outdated soon after publishing, which is a concern."
"I hope the course gets regular updates to keep up with new Azure features and best practices that emerge."
"Staying current with new Azure capabilities is crucial for an optimization course like this to remain valuable."

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

Career center

Learners who complete Optimizing Microsoft Azure Data Solutions will develop knowledge and skills that may be useful to these careers:
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.
See salaries and explore the career path for Database Engineer
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.
See salaries and explore the career path for Data Architect
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Information Security Analyst
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.
See salaries and explore the career path for Network Architect
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.
See salaries and explore the career path for Performance 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.
See salaries and explore the career path for Systems 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.
See salaries and explore the career path for Technical Support Engineer

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.
Cover image
Secret Colors
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.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Microsoft Azure Essentials - Fundamentals of Azure
Save
Provides a comprehensive overview of Azure cloud services, including compute, storage, networking, and security. It good starting point for those new to Azure.
Fundamentals of Azure Microsoft Azure Essentials
Paperback
$
Cover image
Designing Data-Intensive Applications
Save
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.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Research Anthology on Big Data Analytics,...
Save
Provides more background on data analytics, machine learning, and AI. Use this as a supplement to the existing course.
Research Anthology on Big Data Analytics,...
Hardcover
$$$$
Cover image
HoloLens Blueprints
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.
HoloLens Blueprints
Paperback
$
HoloLens Blueprints: Build immersive AR and Mixed...
Kindle Edition
$

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Course image
Time
166 hours
Level
Intermediate
Via
Pluralsight
Instructor
John Savill
Language
English
Optimizing Microsoft Azure Data Solutions belongs to the following collections:
  1. Monitoring and Managing Microsoft Azure Data Solutions
  2. Microsoft Azure Data Engineer (DP-200)
Traffic lights
Read about what's good
what should give you pause
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
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