Monitoring and Optimizing Queries in Databricks SQL from Pluralsight

This course will teach you to monitor query executions in Databricks SQL, and also regulate access to query objects. You will learn how to optimize query executions with caches, encrypt queries, and configure alerts based on query results.

Queries lie at the heart of Databricks SQL and managing them correctly will ensure that we make the best use of this platform. In this course, Monitoring and Optimizing Queries in Databricks SQL, you will learn various aspects of query management, from basic administration to encryption, with a special emphasis on query monitoring and optimization. First, you will explore how to create a Delta table and queries which run against it. Next, you will discover how query execution times can be reduced by two different caching mechanisms supported by Databricks SQL - Delta caching and Spark caching. Finally, you will learn how we can monitor the results of query executions and trigger an alert when those results fulfill a specific condition. At the end of this course, you will be well-versed with various aspects of query management, which will help you ensure that your queries are configured correctly, that they run in an optimal manner, and that you are alerted the moment their results point to something that is off.

What's inside

Syllabus

Course Overview

Monitoring and Administering Queries

Optimizing Query Executions

Creating and Configuring Query Alerts

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers query management for Databricks SQL, including administration, optimization, and alerting

Taught by Kishan Iyer, an expert in Databricks SQL

Suitable for learners with experience in SQL and Databricks SQL

Provides hands-on experience through labs and interactive materials

Could be more comprehensive by including more advanced topics in query optimization

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 Monitoring and Optimizing Queries in Databricks SQL with these activities:

Review SQL basics

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Reviewing SQL basics will help you refresh your knowledge and ensure that you have a solid foundation for this course.

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Go through your notes from a previous SQL course or tutorial.
Take an online SQL quiz or practice exercise.
Set up a local SQL environment and run some basic queries.

Review SQL syntax and fundamentals

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Reinforce your understanding of SQL syntax and fundamentals to ensure a strong foundation for working with Databricks SQL.

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Review online tutorials and documentation on SQL syntax.
Complete practice exercises to solidify your understanding of basic SQL commands.
Create a sample database and practice writing and executing queries.

Review course materials and attend office hours

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Stay up-to-date by regularly reviewing course materials, attending office hours for clarification, and engaging in discussions with your instructors and classmates.

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Review lecture notes, slides, and assigned readings.
Attend office hours to ask questions and clarify concepts.
Participate in class discussions and online forums to reinforce understanding.

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Prepare for Data Engineering

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Prep your skills in data wrangling and big data technologies to strengthen your foundation for this course.

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Review relational and non-relational data structures
Refresh data modeling concepts for data warehouses and data lakes
Learn Apache Spark fundamentals
Get a basic understanding of cloud computing and its role in data engineering

Attend a Databricks SQL workshop or training session

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Gain hands-on experience with Databricks SQL through guided workshops or training sessions, enhancing your practical skills and knowledge.

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Identify relevant Databricks SQL workshops or training sessions offered by the platform or external providers.
Register for and attend the chosen workshop or training session.
Actively participate in the hands-on exercises and Q&A sessions.

Follow tutorials on Delta caching and Spark caching

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Following tutorials on Delta caching and Spark caching will help you learn how to optimize query executions in Databricks SQL.

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Find a tutorial on Delta caching and Spark caching.
Follow the steps in the tutorial to set up Delta caching and Spark caching.
Test your Delta caching and Spark caching setup by running some queries.

Follow online tutorials on query optimization techniques

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Enhance your ability to optimize query execution by utilizing caching and encryption techniques, as well as configuring query alerts.

Browse courses on Query Optimization

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Identify online tutorials or documentation on query optimization techniques in Databricks SQL.
Follow the tutorials step-by-step, implementing the techniques in your own practice queries.
Experiment with different optimization techniques to understand their impact on query performance.

Practice writing queries in Databricks SQL

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Practicing writing queries in Databricks SQL will help you improve your skills and become more proficient in using the platform.

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Create a new Databricks SQL notebook.
Write a query to create a new table.
Write a query to insert data into the table.
Write a query to select data from the table.
Write a query to update the data in the table.
Write a query to delete the data from the table.

Develop a custom query monitoring dashboard

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Apply your knowledge of query monitoring and optimization to create a customized dashboard, enabling you to proactively monitor and manage query performance.

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Identify the key metrics and visualizations that are relevant for monitoring query performance.
Select a dashboarding tool or platform that supports the required visualizations and integrations.
Configure the dashboard to display real-time or scheduled query execution data.
Set up alerts and notifications to ensure timely identification of performance issues.

Create a portfolio of optimized query scripts

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Showcase your skills by creating a portfolio of optimized query scripts that demonstrate your proficiency in query optimization techniques.

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Identify a set of datasets or scenarios that require optimized query execution.
Design and implement optimized query scripts for each scenario, utilizing various optimization techniques.
Document the query scripts with clear explanations and performance comparisons.
Present your portfolio to potential employers or clients to demonstrate your expertise in query optimization.

Create a presentation on query monitoring and optimization techniques

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Creating a presentation on query monitoring and optimization techniques will help you solidify your understanding of these concepts and be able to communicate them effectively to others.

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Gather information on query monitoring and optimization techniques.
Organize your information into a logical flow.
Create visual aids to support your presentation.
Practice your presentation.
Deliver your presentation to an audience.

Participate in a community project or contribute to open-source query optimization tools

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Engage in real-world projects or contribute to open-source tools to enhance your understanding of query optimization techniques and best practices.

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Identify community projects or open-source repositories related to query optimization in Databricks SQL.
Contact the project or repository maintainers to inquire about possible contribution opportunities.
Review the project documentation and codebase to understand the project's goals and technical approach.
Make meaningful contributions to the project, such as implementing new features, fixing bugs, or improving documentation.

Mentor a junior developer on query optimization techniques

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Mentoring a junior developer on query optimization techniques will help you reinforce your own understanding of these concepts and develop your leadership skills.

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Identify a junior developer who is interested in learning about query optimization.
Set up regular meetings to discuss query optimization techniques.
Provide guidance and support to the junior developer as they work on query optimization projects.
Review the junior developer's work and provide feedback.
Celebrate the junior developer's successes.

Career center

Learners who complete Monitoring and Optimizing Queries in Databricks SQL will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their expertise in mathematics, statistics, and computer science to extract insights from data. They use this information to develop models that can predict future outcomes and make recommendations to businesses. This course will help you gain the skills you need to be a successful Data Scientist, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently analyze large amounts of data.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They work closely with data scientists to ensure that models are accurate and reliable. This course will help you gain the skills you need to be a successful Machine Learning Engineer, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently analyze large amounts of data.

See salaries and explore the career path for Machine Learning Engineer

Statistician

Statisticians collect, analyze, and interpret data. They use this information to make recommendations to businesses and organizations on how to improve their operations. This course will help you develop the skills you need to be a successful Statistician, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently analyze large amounts of data.

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Data Architect

Data Architects design and manage the architecture of data systems. They work closely with other stakeholders to ensure that data systems are aligned with business needs. This course will help you gain the skills you need to be a successful Data Architect, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to design data systems that are efficient, effective, and scalable.

See salaries and explore the career path for Data Architect

Data Security Analyst

Data Security Analysts are responsible for protecting data from unauthorized access, use, or disclosure. They work closely with other stakeholders to identify and mitigate security risks. This course will help you gain the skills you need to be a successful Data Security Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's data is secure.

See salaries and explore the career path for Data Security Analyst

Data Privacy Analyst

Data Privacy Analysts are responsible for protecting the privacy of personal data. They work closely with other stakeholders to ensure that data is collected, used, and stored in a compliant manner. This course will help you gain the skills you need to be a successful Data Privacy Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's data is used in a compliant and ethical manner.

See salaries and explore the career path for Data Privacy Analyst

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course will help you develop the skills you need to be a successful Data Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently analyze large amounts of data.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is safe and secure. This course will help you gain the skills you need to be a successful Database Administrator, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's databases are running efficiently and effectively.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers design, build, and maintain data systems. They work closely with data analysts and other stakeholders to ensure that data is available and accessible for analysis. This course will help you gain the skills you need to be a successful Data Engineer, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's data systems are running efficiently and effectively.

See salaries and explore the career path for Data Engineer

Business Intelligence Analyst

Business Intelligence Analysts use their skills in data analysis and visualization to help businesses make better decisions. They work closely with stakeholders to understand their needs and translate those needs into actionable insights. This course will help you gain the skills you need to be a successful Business Intelligence Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently analyze large amounts of data.

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Data Quality Analyst

Data Quality Analysts are responsible for ensuring that data is accurate, complete, and consistent. They work closely with other stakeholders to identify and resolve data quality issues. This course will help you gain the skills you need to be a successful Data Quality Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to quickly and efficiently identify and resolve data quality issues.

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Data Governance Analyst

Data Governance Analysts are responsible for managing and enforcing data governance policies and procedures. They work closely with other stakeholders to ensure that data is used in a consistent and ethical manner. This course will help you gain the skills you need to be a successful Data Governance Analyst, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's data is used in a compliant and efficient manner.

See salaries and explore the career path for Data Governance Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work closely with other stakeholders to understand their needs and translate those needs into technical requirements. This course will help you gain the skills you need to be a successful Software Engineer, as you will learn how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for your role, as you will need to be able to ensure that your company's software applications are running efficiently and effectively.

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Analytics Engineer

Analytics Engineers use their expertise in data analysis and engineering to design, build, and maintain data systems. They work closely with business stakeholders to understand their data needs and translate those needs into technical requirements. This course will help you gain a solid understanding of how to monitor and optimize queries in Databricks SQL. This knowledge will be essential for success in your role as an Analytics Engineer, as you will be responsible for ensuring that your company's data systems are running efficiently and effectively.

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Monitoring and Optimizing Queries in Databricks SQL

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