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This course introduces the Amazon Athena service along with an overview of its operating environment. The basic steps in implementing Amazon Athena are also covered.

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This course introduces the Amazon Athena service along with an overview of its operating environment. The basic steps in implementing Amazon Athena are also covered.

This course introduces the Amazon Athena service along with an overview of its operating environment. The basic steps in implementing Amazon Athena are also covered. Using the AWS Management Console, a brief demonstration of creating a database to run SQL queries for validation is performed.

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What's inside

Syllabus

Introduction to Amazon Athena

Good to know

Know what's good
, what to watch for
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Teaches intermediate learners the basics of implementing Amazon Athena including running SQL queries
Develops foundational skills in setting up and using an Amazon database to run SQL queries
Taught by AWS, who are recognized for their work in cloud computing
Strong fit for students who want to learn the basics of Amazon Athena
Covers unique perspectives and ideas in implementing cloud-based SQL

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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 Introduction to Amazon Athena with these activities:
Review Basic SQL
Refresh your knowledge in SQL so that you are prepared to hit the ground running in this Amazon Athena course.
Browse courses on Structured Query Language
Show steps
  • Review your notes or course materials from a previous SQL course
  • Complete some sample practice questions
  • Take a practice SQL quiz
Review SQL syntax and commands
Refresh your memory on SQL commands and syntax to prepare you for working with Amazon Athena.
Browse courses on SQL
Show steps
  • Go through a SQL tutorial
  • Practice writing SQL queries
Follow an Amazon Athena tutorial
Deepen your understanding of Amazon Athena by following a guided tutorial that provides step-by-step instructions and examples.
Show steps
  • Find a tutorial that aligns with your skill level and interests
  • Follow the tutorial instructions
  • Complete the exercises and review the materials
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Practice writing SQL queries
Reinforce understanding of SQL query syntax and semantics by practicing writing queries.
Show steps
  • Identify a dataset to practice on
  • Write queries to retrieve specific data or perform operations on the dataset
  • Review the results and identify any errors or areas for improvement
Follow Sample AWS Athena Tutorials
Following some sample tutorials will help you to better familiarize yourself with the inner workings of Amazon Athena.
Show steps
  • Use a search engine to find guided tutorials on Amazon Athena
  • Follow one of the tutorials
  • Complete any associated exercises
Run SQL queries against a sample data set
Put your SQL skills to the test by writing queries against a sample data set to familiarize yourself with the syntax and commands.
Show steps
  • Find a sample data set
  • Create a table and load the data set
  • Write SQL queries to retrieve data
  • Analyze the results and optimize your queries
Practice Writing SQL Queries
The more you practice writing SQL queries, the more comfortable you will become with the process and the more quickly you will be able to complete them.
Show steps
  • Find a website or platform that offers SQL practice drills
  • Complete a series of drills or exercises
Follow tutorials on advanced Athena features
Enhance knowledge of Athena's advanced capabilities, such as federated queries and data encryption.
Show steps
  • Identify a specific Athena feature to explore
  • Locate and review relevant tutorials provided by AWS or other sources
  • Implement the feature in your own Athena environment and experiment with its functionality
Develop a data analysis report using Amazon Athena
Demonstrate your proficiency in using Amazon Athena by creating a comprehensive data analysis report that showcases your skills in data retrieval, analysis, and presentation.
Show steps
  • Define the scope and objectives of your report
  • Gather and prepare the necessary data
  • Perform data analysis using Amazon Athena
  • Write the report and present your findings
Create a tutorial or blog post about Athena
Solidify understanding of Athena's concepts and capabilities by explaining them to others.
Show steps
  • Choose an aspect of Athena to focus on
  • Research and gather information from official documentation and other sources
  • Write a clear and concise tutorial or blog post that explains the topic
Build a simple dashboard using Amazon Athena
Create a visual representation of your SQL query results with a dashboard to enhance your understanding and presentation of data insights.
Show steps
  • Design the dashboard
  • Gather the necessary data
  • Write SQL queries to retrieve the data
  • Create the dashboard using a data visualization tool
  • Present your dashboard to others
Mentor a junior data analyst
Share your knowledge and experience with a junior data analyst to enhance their understanding of Amazon Athena and data analysis best practices.
Show steps
  • Find a mentee who is interested in learning about Amazon Athena
  • Set up regular meetings to provide guidance and support
  • Share resources and materials to aid their learning
  • Provide feedback and encouragement to foster their growth
Contribute to an open-source project related to Amazon Athena
Expand your knowledge and make a valuable contribution to the Amazon Athena community by actively engaging in open-source projects.
Show steps
  • Identify an open-source project that aligns with your interests and skillset
  • Review the project documentation and codebase
  • Identify an area where you can contribute
  • Submit a pull request with your contribution
  • Collaborate with other contributors and maintain your contribution

Career center

Learners who complete Introduction to Amazon Athena will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators ensure that organizational databases are efficient, reliable, and secure. This course provides a solid foundation in Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. It covers the basics of creating databases, running SQL queries, and managing data access permissions, making it highly relevant for aspiring Database Administrators.
Data Analyst
Data Analysts transform raw data into insights to drive decision-making. This course introduces Amazon Athena, a powerful tool for analyzing large datasets stored in Amazon S3. By gaining proficiency in Amazon Athena, learners can enhance their data analysis skills, enabling them to extract valuable insights and contribute to data-driven decision-making.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends, patterns, and opportunities for businesses. This course provides an introduction to Amazon Athena, a cloud-based interactive query service that makes it easy to analyze data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their data analysis capabilities, enabling them to generate insights that drive business growth.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course provides an overview of Amazon Athena, a serverless interactive query service that simplifies analyzing data stored in Amazon S3. By gaining proficiency in Amazon Athena, learners can expand their data engineering skillset, enabling them to efficiently process and analyze large datasets.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course introduces Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their software development capabilities, enabling them to build data-driven applications.
Cloud Architect
Cloud Architects design and implement cloud-based solutions. This course provides an overview of Amazon Athena, a serverless interactive query service that simplifies the analysis of data stored in Amazon S3. By gaining proficiency in Amazon Athena, learners can enhance their cloud architecture skills, enabling them to design and manage cost-effective and scalable data analytics solutions.
Data Scientist
Data Scientists use statistical and analytical techniques to extract insights from data. This course provides an introduction to Amazon Athena, a cloud-based interactive query service that makes it easy to analyze data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their data science skills, enabling them to efficiently analyze large datasets and generate insights.
Database Developer
Database Developers design, develop, and maintain databases. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their database development skills, enabling them to build scalable and efficient data-driven applications.
Data Warehouse Engineer
Data Warehouse Engineers build and maintain data warehouses for organizations. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can expand their data warehousing skills, enabling them to design and manage efficient and scalable data storage and analysis solutions.
Database Manager
Database Managers oversee the planning, implementation, and maintenance of database systems. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their database management skills, enabling them to effectively manage and optimize data storage and analysis systems.
Information Technology Manager
Information Technology Managers plan, implement, and manage an organization's technology infrastructure. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their IT management skills, enabling them to make informed decisions about data storage and analysis solutions.
Systems Analyst
Systems Analysts design and implement information systems. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their systems analysis skills, enabling them to effectively design and implement data-driven solutions.
Business Analyst
Business Analysts analyze business processes and identify opportunities for improvement. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their business analysis skills, enabling them to effectively analyze data and generate insights that drive business decisions.
Project Manager
Project Managers plan, execute, and close projects. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their project management skills, enabling them to effectively manage data analysis projects and deliver valuable insights.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the integrity and security of data. This course provides an overview of Amazon Athena, a cloud-based interactive query service that simplifies the analysis of data stored in Amazon S3. By understanding Amazon Athena, learners can enhance their data governance skills, enabling them to effectively manage and govern data assets within an organization.

Reading list

We've selected 11 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 Introduction to Amazon Athena.
Introduces the Python programming language and its libraries for data analysis. While not directly related to Amazon Athena, it provides a solid foundation for those interested in extending their data analysis capabilities beyond SQL.
This introductory book provides a gentle introduction to Python for data analysis. While not directly related to Amazon Athena, it can be helpful for beginners looking to gain a foundational understanding of Python, which can be useful for interacting with Amazon Athena via its SDK or APIs.
This practical guide introduces the R programming language for data science. While not directly related to Amazon Athena, R can be used for advanced data analysis and visualization tasks.
This classic book provides a comprehensive overview of data warehousing concepts and techniques. While not directly related to Amazon Athena, it offers valuable insights into data modeling and its application in data analytics.
This practical guide introduces agile methodologies for data science projects. While not directly related to Amazon Athena, it provides valuable insights into the iterative and collaborative approach to data analytics.
This comprehensive guide introduces machine learning concepts and techniques using Python. While not directly related to Amazon Athena, it provides a valuable foundation for those interested in exploring advanced data analysis and modeling.

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