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Jared Westover

Have you considered creating columnstore indexes to defeat slow queries? Well, this course is for you! Take your skills to the next level by learning how columnstore indexes can boost performance in today's busy database environment.

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Have you considered creating columnstore indexes to defeat slow queries? Well, this course is for you! Take your skills to the next level by learning how columnstore indexes can boost performance in today's busy database environment.

High-performance queries are vital for any SQL developer in today's data- driven world. You may have tried columnstore indexes but left with more questions than answers. In this course, Optimizing Query Performance with Columnstore Indexes, you'll learn core skills for building columnstore indexes in your environment. First, you'll learn what columnstore is and how it differs from rowstore. Understanding the columnstore architecture helps you decide the correct path when it's time to implement. Next, you'll discover the various types of columnstore indexes and which one to create based on your database's workload. Also, you'll learn several features built into columnstore, allowing faster performance. Finally, you'll explore several techniques for getting the most from your new columnstore indexes. When you're finished with this course, you'll have the skills and knowledge necessary to implement and optimize columnstore indexes in your unique environment.

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What's inside

Syllabus

Course Overview
Introducing Columnstore Indexes
Examining the Structure of Columnstore Indexes
Creating Your First Columnstore Index
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Optimizing Columnstore Index Performance
Monitoring and Maintaining Index Health
Building Columnstore Indexes in the Real World

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides hands-on experience and interactive materials
Fits well with the needs of database administrators in busy environments
Provides an overview of columnstore indexes' architecture
Strengthens existing foundation for intermediate database developers
Covers a unique aspect of structured data management
Explicitly requires students to already have database development 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 Optimizing Query Performance with Columnstore Indexes with these activities:
Review SQL query optimization techniques
Brush up on SQL optimization techniques to prepare for the course's focus on columnstore indexes.
Browse courses on SQL Optimization
Show steps
  • Review materials on index structures and query plans
Participate in a peer study group on columnstore indexes
Engage with peers to discuss and clarify concepts related to columnstore indexes.
Browse courses on Database Optimization
Show steps
  • Join a study group
  • Discuss index design, implementation, and optimization
Implement a columnstore index solution for a real-world database
Apply knowledge to a practical scenario and experience the impact of columnstore indexes on query performance.
Browse courses on Database Optimization
Show steps
  • Analyze database workload and identify suitable tables for columnstore indexing
  • Design and implement columnstore indexes
  • Monitor and evaluate performance improvements
One other activity
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Show all four activities
Contribute to an open-source project on columnstore indexing
Gain practical experience and contribute to the community by contributing to an open-source columnstore indexing project.
Browse courses on Database Optimization
Show steps
  • Identify and join an open-source project related to columnstore indexing
  • Submit bug fixes or new features
  • Participate in community discussions

Career center

Learners who complete Optimizing Query Performance with Columnstore Indexes will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators oversee the installation, configuration, and performance of databases. They ensure data is safe and secure, and they troubleshoot and resolve any issues that may arise. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course and developing your database skills, you can increase your marketability as a Database Administrator.
Data Analyst
Data Analysts use data to identify trends and patterns. They help businesses make better decisions by providing them with insights into their data. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you can learn how to interpret data, draw conclusions, and create engaging data visualizations.
Data Scientist
Data Scientists use data to solve complex business problems. They develop and implement data-driven solutions that can help businesses improve their operations, increase their profits, and make better decisions. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. This course will help you to understand different ways to manipulate data, identify meaningful insights, and communicate your findings.
Information Systems Manager
Information Systems Managers plan, implement, and maintain computer systems for organizations. They oversee the hardware, software, and networks that are used to store, process, and transmit data. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. This course will help you to become more familiar with different types of databases and to learn how to manage them effectively.
Database Manager
Database Managers are responsible for managing all aspects of a database system. They oversee the hardware, software, and data, and they ensure that the database is running smoothly and efficiently. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. As a Database Manager, taking this course can help you to become more proficient in deploying, managing, and optimizing database systems.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with data from a variety of sources to create datasets that can be used for analysis and reporting. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to build and maintain data pipelines that can handle large volumes of data.
Data Architect
Data Architects design and implement data management solutions for organizations. They work with stakeholders to understand their data needs and develop data strategies. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and implement data solutions that meet the needs of your organization.
Software Engineer
Software Engineers design, develop, and test software. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. This course will help you to build a strong foundation in database design and development, which can be useful for Software Engineers who work on projects that involve data management.
Computer Systems Analyst
Computer Systems Analysts study the needs of businesses and design and implement computer systems to meet those needs. They analyze existing systems and recommend improvements, and they develop and implement new systems. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and implement complex computer systems.
Database Performance Analyst
Database Performance Analysts identify and resolve performance issues in databases. They work with stakeholders to understand their performance needs and develop solutions to improve performance. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to troubleshoot and resolve database performance issues.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and they develop reports and visualizations that communicate their findings to stakeholders. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to use data to make better decisions and to communicate your findings effectively.
Database Developer
Database Developers design and develop databases. They work with stakeholders to understand their data needs and develop database solutions that meet those needs. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and develop databases that meet the needs of your organization.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with stakeholders to understand their data needs and develop data warehouse solutions that meet those needs. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and implement data warehouse solutions that meet the needs of your organization.
Data Integration Specialist
Data Integration Specialists design and implement solutions to integrate data from multiple sources. They work with data from a variety of formats and sources to create unified datasets that can be used for analysis and reporting. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and implement data integration solutions that can handle large volumes of data.
Big Data Engineer
Big Data Engineers design and develop solutions to manage and process large volumes of data. They work with data from a variety of sources and formats to create data pipelines that can handle large volumes of data. In this course, you will learn how to create and manage columnstore indexes. These indexes can help you to improve the performance of your database, and they can be especially useful for large databases or databases that are used for data warehousing. By taking this course, you will learn how to design and implement data solutions that can handle large volumes of data.

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 Optimizing Query Performance with Columnstore Indexes.
An in-depth guide to optimizing SQL Server performance, covering topics such as indexing, query tuning, and hardware configuration. It provides valuable insights into columnstore indexes and their implementation.
Provides a deep dive into the inner workings of columnstore indexes in SQL Server. It covers the different types of columnstore indexes, how they are created and managed, and how to optimize their performance.
Detailed guide to columnstore indexes in SQL Server, covering everything from their architecture to their performance benefits.
Provides a comprehensive overview of SQL Server performance tuning, including a section on columnstore indexes.
A comprehensive reference book covering a wide range of SQL Server topics, including columnstore indexes. It provides detailed explanations and examples, making it a valuable resource for both beginners and experienced professionals.
A comprehensive textbook covering fundamental database concepts, including data models, database design, and query optimization. It provides a broad overview of columnstore indexes and their role in modern database systems.
A comprehensive guide to understanding and interpreting SQL Server execution plans. It provides detailed explanations of query execution steps, operator costs, and performance bottlenecks. While it does not cover columnstore indexes specifically, it offers valuable insights into how SQL Server processes queries.

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