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Beth Hord

Have you heard of Amazon Athena? In this course, we will be diving deep into what Amazon Athena is, its pros and cons, how to use it, and the powerful capabilities it offers for filtering and analyzing your data. Come along with me as we take a closer look at Amazon Athena.

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Suitable for beginners interested in deep diving into the capabilities of Amazon Athena
Taught by Beth Hord, an experienced instructor in the field
Provides hands-on experience through interactive materials
Explores industry-relevant applications of Amazon Athena
Course is part of a larger series on data analytics, offering a comprehensive learning path

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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 Amazon Athena Deep Dive with these activities:
Review SQL Concepts
Refresh your knowledge of fundamental SQL concepts to lay a solid foundation for learning Athena.
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  • Review online tutorials or articles on SQL basics
  • Take practice quizzes or complete exercises to test your understanding
Review Big Data Concepts
Reviewing the basics of Big Data will sharpen the fundamentals that will be built on throughout this course.
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  • Review definitions and key concepts of Big Data
  • Explore different types of Big Data
  • Examine the challenges and opportunities associated with Big Data
Review SQL basics
Recall the basics of SQL before starting the course. This will improve your ability to move quickly through the lessons and dedicate more time to novel concepts.
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  • Review SQL syntax and commands such as SELECT, FROM, WHERE, ORDER BY, GROUP BY, and JOIN
  • Practice writing simple queries to retrieve data from sample tables
  • Complete online tutorials or exercises to reinforce your understanding
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Participate in Online Discussion Forums
Engaging in discussion forums will provide opportunities to interact with peers, ask questions, and reinforce your understanding of Amazon Athena.
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  • Join online discussion forums related to Amazon Athena
  • Participate in discussions and ask questions
  • Share your knowledge and help others
Study Group Discussions
Collaborate with peers to discuss course topics, share insights, and support each other's learning.
Show steps
  • Find or form a study group with other students enrolled in the course
  • Schedule regular study sessions to discuss course materials and assignments
  • Take turns presenting concepts, leading discussions, and providing feedback
Practice SQL Queries
Practicing SQL queries will solidify your understanding of data manipulation and analysis, which are essential skills for working with Amazon Athena.
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Show steps
  • Find online SQL practice problems
  • Solve practice problems to reinforce SQL syntax and concepts
Explore Athena Documentation
Gain a deeper understanding of Athena's capabilities and best practices by exploring the official documentation.
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  • Visit the Athena documentation website
  • Read through the getting started guide and tutorials
  • Refer to the documentation for specific topics as needed while working on course assignments
Athena Query Exercise
Practice writing Athena queries to gain hands-on experience and master the techniques covered in the course.
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Show steps
  • Create a sample dataset in Athena
  • Write queries to filter, aggregate, and analyze the data using Athena's SQL syntax
  • Review the results and optimize your queries for performance
Explore Athena Hands-on Tutorials
Following hands-on tutorials will provide practical experience and reinforce the concepts of using Amazon Athena.
Browse courses on Amazon Athena
Show steps
  • Find online Athena tutorials
  • Follow the tutorials to create queries and analyze data
  • Experiment with different Athena features
Attend an Athena Workshop
Enhance your knowledge and skills by attending an in-person or virtual workshop led by experienced Athena experts.
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Show steps
  • Research and find an Athena workshop offered by AWS or authorized partners
  • Register and attend the workshop
  • Actively participate, ask questions, and engage with the instructor
Create a Sample Data Analysis Report
Creating a data analysis report will provide hands-on experience with the end-to-end process of working with Amazon Athena.
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  • Gather data using Athena queries
  • Analyze the data and identify insights
  • Create data visualizations to present findings
  • Write a report summarizing the analysis and insights
Data Analysis Project
Apply your Athena skills to a real-world dataset and create a valuable deliverable that showcases your understanding and proficiency.
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  • Identify a dataset of interest and define a specific business question to answer
  • Use Athena to query and analyze the dataset to extract insights
  • Prepare visualizations or dashboards to present your findings
  • Write a report or create a presentation to communicate your results
Contribute to Athena Open Source Projects
Gain hands-on experience with Athena and contribute to its development by participating in open source projects.
Browse courses on SQL
Show steps
  • Find open source Athena projects on GitHub or other code repositories
  • Review the project documentation and identify areas where you can contribute
  • Join the project community and engage with contributors

Career center

Learners who complete Amazon Athena Deep Dive will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts specialize in analyzing large amounts of data to find trends and patterns to inform decision making. Data Analysts use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Data Analyst by providing an overview of Athena and its capabilities and how to use it to effectively analyze data.
Business Analyst
Business Analysts use data to understand the needs of a business and make recommendations for improvement. Business Analysts use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Business Analyst by providing an overview of Athena and its capabilities and best practices.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's data from unauthorized access or theft. Information Security Analysts use Amazon Athena to query and analyze security logs in Amazon S3 using standard SQL. This course can help an Information Security Analyst by providing an overview of Athena and its capabilities and best practices for securing data.
Data Scientist
Data Scientists use their knowledge of statistics and machine learning to build models that can predict future outcomes. Data Scientists use Amazon Athena to query and analyze large datasets in Amazon S3 using standard SQL. This course can help a Data Scientist by providing an overview of Athena and its capabilities and how to use it to effectively analyze data.
Data Engineer
Data Engineers design and build data pipelines that collect, clean, and transform data. Data Engineers use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Data Engineer by providing an overview of Athena and its capabilities and best practices for building data pipelines.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. Cloud Architects use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Cloud Architect by providing an overview of Athena and its capabilities and best practices for building data-driven cloud applications.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. Business Intelligence Analysts use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Business Intelligence Analyst by providing an overview of Athena and its capabilities and best practices for using it to analyze data.
Information Technology Manager
Information Technology Managers plan and direct the implementation of information technology systems. Information Technology Managers use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help an Information Technology Manager by providing an overview of Athena and its capabilities and best practices for managing IT systems.
Systems Engineer
Systems Engineers design, implement, and maintain computer systems and networks. Systems Engineers use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Systems Engineer by providing an overview of Athena and its capabilities and best practices for using it to manage and monitor systems and networks.
Database Developer
Database Developers design and build databases. Database Developers use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Database Developer by providing an overview of Athena and its capabilities and best practices for building databases.
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses. Data Warehouse Architects use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Data Warehouse Architect by providing an overview of Athena and its capabilities and best practices for building data warehouses.
Data Architect
Data Architects design and build data architectures. Data Architects use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Data Architect by providing an overview of Athena and its capabilities and best practices for building data architectures.
Software Engineer
Software Engineers design, develop, and maintain software applications. Software Engineers use Amazon Athena to query and analyze data in Amazon S3 using standard SQL. This course can help a Software Engineer by providing an overview of Athena and its capabilities and best practices for using it to develop data-driven applications.
Database Administrator
Database administrators ensure the smooth running of databases for their organization. A Database Administrator helps ensure that Amazon Athena, a powerful tool for querying data in Amazon S3 using standard SQL, is used correctly within their organization. This course can help build a foundation for a Database Administrator by providing an overview of Athena, its capabilities, and best practices.

Reading list

We've selected six 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 Amazon Athena Deep Dive.
Provides a comprehensive overview of Amazon Redshift, a cloud-based data warehousing solution. It covers data modeling, query optimization, and best practices for building and managing a data warehouse.
Provides a comprehensive overview of big data analytics concepts and technologies. While not solely focused on Amazon Athena, it offers valuable insights into data management, analytics techniques, and cloud computing.
Provides a comprehensive guide to Hadoop, a foundational technology for big data processing. While not directly related to Amazon Athena, it offers valuable insights into distributed computing, data storage, and processing frameworks.
Offers a non-technical introduction to data science and analytics. While not specific to Amazon Athena, it provides valuable insights into data science concepts, methodologies, and best practices.
This comprehensive textbook provides a thorough overview of data mining concepts and techniques. While not specific to Amazon Athena, it offers valuable insights into data preprocessing, clustering, classification, and other data mining algorithms.
Provides a deep dive into advanced analytics techniques using Apache Spark. While not specific to Amazon Athena, it offers valuable insights into machine learning, graph processing, and real-time analytics.

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