Effective Query Analysis with SQL Server Tools from Pluralsight

Once a database is converted to SQL Server 2022, how do you find regressed queries? Learn to interpret the results of the Query Tuning Assistant with the Query Store for database queries that regress between versions of SQL Server.

The Query Store contains the execution plans to improve performance or show regressed plans, while the Query Tuning Assistant helps with its analysis of the convert database.

In this course, Effective Query Analysis with SQL Server Query Tuning Assistant, you’ll gain the ability to execute the Query Tuning Assistant to analyze queries captured in the Query Store.

First, you’ll explore the Query Store and metric data related to captured SQL statements.

Next, you’ll discover the results of the Query Tuning Assistant and how to differentiate resources from T-SQL issues.

Finally, you’ll learn how to develop a plan to improve the performance of a database from the results of the Query Tuning Assistant.

When you’re finished with this course, you’ll have the skills and knowledge of the Query Tuning Assistant needed to read metric data from the Query Store to performance-tune a set of database queries.

What's inside

Syllabus

Course Overview

Analyzing the Query Store Metrics

Developing a Plan for Continuous Improvement

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Analyzes the Query Store Metrics, which is standard in SQL Server database analysis

Provides strategies to find and fix regressed queries in SQL Server 2022, which is a valuable skill for database administrators

Shows how to develop a plan for continuous improvement of SQL Server database performance, which is a key aspect of database management

Career center

Learners who complete Effective Query Analysis with SQL Server Tools will develop knowledge and skills that may be useful to these careers:

Database Developer

A Database Developer designs, develops, and maintains databases to meet the needs of an organization. They work with stakeholders to understand data requirements and develop database schemas and applications. This course can be useful for database developers who are seeking to enhance their SQL syntax and database query analysis capabilities.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data analysis, data mining, and data visualization techniques to provide insights and recommendations to businesses. They help businesses understand their performance, identify opportunities for improvement, and make better decisions. This course can be useful for business intelligence analysts seeking to develop their SQL query analysis and data interpretation skills.

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Data Engineer

A Data Engineer builds and maintains data pipelines and infrastructure for storing, processing, and analyzing data. They work closely with data analysts and other stakeholders to ensure that data is accessible, reliable, and secure. This course can be useful for data engineers as it aligns with data query analysis and interpretation, which are key aspects of data engineering.

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Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. They solve complex problems and develop data-driven solutions to improve decision-making. This course can be useful for budding data scientists as it introduces SQL query analysis and tuning techniques.

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Data Architect

A Data Architect designs and manages the architecture of an organization's data infrastructure. They work with stakeholders to understand data needs and develop data models and schemas. This course may be useful for data architects as it provides insights into SQL syntax and database query analysis, which are fundamental to data architecture.

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Database Administrator

A Database Administrator manages and maintains databases to ensure optimal performance and data integrity. They may work with data analysts and other stakeholders to ensure that databases meet their needs. This course can be useful for database administrators who want to extend their knowledge of SQL syntax and database query analysis.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. They use programming languages and tools to create applications that meet user needs and solve business problems. This course can provide software engineers with a foundational understanding of SQL syntax and database query analysis techniques.

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ETL Developer

An ETL Developer designs and develops data pipelines to extract, transform, and load data from various sources into a target data warehouse or data lake. They work with data engineers and other stakeholders to ensure that data is integrated and accessible for analysis and reporting. This course may be useful for ETL developers who want to gain a deeper understanding of data query analysis techniques.

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Business Analyst

A Business Analyst identifies and analyzes business needs and develops solutions to improve efficiency and effectiveness. They use data analysis to understand business processes and make recommendations for improvement. This course may be useful for business analysts as it will help them strengthen their analytical and data interpretation capabilities.

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Data Visualization Analyst

A Data Visualization Analyst uses data visualization tools and techniques to create visual representations of data. They work with stakeholders to communicate data insights and trends, and help them make informed decisions. This course may be useful for data visualization analysts who seek to expand their knowledge of SQL database technology and query analysis.

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Information Security Analyst

An Information Security Analyst protects an organization's computer systems and networks from unauthorized access and cyber attacks. They identify, assess, and mitigate security risks and develop security policies and procedures. This course may be useful for information security analysts who seek to enhance their understanding of database security and query analysis techniques.

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Data Analyst

A Data Analyst synthesizes data from a wide array of sources to extract meaningful insights and identifies trends. They interpret data to communicate information clearly and concisely. You will need advanced analytical skills and experience with advanced data analysis tools; this course may be useful for building a foundational understanding of SQL syntax and database query fundamentals.

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Technical Writer

A Technical Writer creates and maintains technical documentation, such as user manuals, whitepapers, and training materials. They work with subject matter experts to translate complex technical information into clear and accessible language. This course may be useful for technical writers who need to convey technical concepts related to SQL database technology to a non-technical audience.

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Product Manager

A Product Manager defines and manages the development and lifecycle of a product. They work with engineers, designers, and other stakeholders to bring a product to market and ensure its success. This course may be useful for product managers who wish to gain a deeper understanding of data analysis and query interpretation.

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Project Manager

A Project Manager plans, executes, and closes projects to achieve specific goals and objectives. They work with stakeholders to define project scope, timelines, and budgets, and ensure that projects are completed on time, within budget, and to the required quality standards. This course may be useful for project managers who need to analyze data to make informed decisions and track project progress.

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