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Introduction to Amazon Athena

In this course, Introduction to Amazon Athena, you’ll learn how to use basic SQL to query data stored in Amazon S3 using Amazon Athena. First, you’ll unpack the basics of Athena and explore its powers and limitations to identify when to use this service. Next, you’ll go over the options offered for defining the schema of the queried data. Finally, you’ll use your schema and Amazon Athena to query data. When you’re finished with this course, you’ll have the skills and knowledge needed to query data using Athena.

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Amazon Athena SQL Big Data Data Analysis Data Warehousing Data Lakes Cloud Computing

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Explores querying data using Amazon Athena, equipping learners with in-demand skills for data analysis

Taught by Noreen Hasan, recognized for their work in Amazon Athena

Suitable for beginners seeking an introduction to querying data using Amazon Athena

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Reviews summary

Intro to amazon athena for querying s3 data

According to students, this course provides a solid introduction to using Amazon Athena for querying data in S3. Learners highlight its clarity and practical approach, making complex concepts accessible for beginners. The course is seen as effective for building foundational skills in data analysis within the AWS ecosystem, with an emphasis on hands-on application. While it offers a strong start, some learners suggest it primarily serves as an introductory overview rather than an in-depth exploration of advanced Athena functionalities.

Covers basics but may require further study for advanced use.

"While great for a start, I'll need more advanced resources for complex Athena queries."

"It’s a good overview, but I think deeper dives into optimization are needed later."

"I found it to be a strong introduction, assuming some basic SQL knowledge."

Well-suited for those new to Athena or cloud data querying.

"As someone new to AWS data services, I felt this was a perfect starting point."

"It breaks down complex ideas into manageable pieces for a beginner."

"I appreciated how it didn't assume extensive prior knowledge of Athena."

Provides actionable skills for querying S3 data with SQL.

"The hands-on examples were incredibly useful for applying SQL with Athena."

"I can now confidently query data in S3 using Athena after taking this."

"It really helped me see how Athena could be used in real-world data tasks."

Builds a strong understanding of Athena's core concepts.

"I found the explanations really clear, helping me grasp Athena's basics quickly."

"This course is excellent for getting started with Athena and understanding its place in AWS."

"It gave me a solid understanding of how Athena works and its limitations."

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:

Athena Query Optimization Discussion

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Collaborate with peers to discuss best practices for optimizing SQL queries in Amazon Athena, exploring techniques such as partitioning, filtering, and data compression.

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Join an online forum or discussion group dedicated to Amazon Athena.
Participate in discussions and ask questions about query optimization techniques.
Share your own experiences and insights with other participants.

Walkthrough on Amazon Athena Basics

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Familiarize yourself with the core concepts, capabilities, and use cases of Amazon Athena to enhance comprehension of the course content.

Browse courses on Amazon Athena

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Watch the official AWS tutorial on Amazon Athena fundamentals.
Explore the Amazon Athena documentation to gain insights into its features and functionalities.

Practice Queries on Amazon Athena

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Writing SQL queries on Athena can help you solidify your understanding of the concepts covered in this course.

Browse courses on Athena

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Find a dataset on Amazon S3 that you can query.
Create a query using the SQL syntax.
Run the query using Athena.
Examine the results of the query.

Four other activities

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SQL Querying Exercises

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Strengthen your SQL querying skills by practicing various scenarios and use cases involving real-world data in Amazon S3.

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Download the provided sample datasets from Amazon S3 and import them into your Athena workspace.
Follow the instructions in the course to execute SQL queries against the sample datasets.
Analyze the query results and validate your understanding of the SQL syntax and data retrieval techniques.

Follow a Tutorial on Optimizing Athena Queries

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Optimizing your Athena queries can help you get the most out of this service. Following a tutorial will give you practical guidance.

Browse courses on Amazon Athena

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Identify a tutorial on optimizing Athena queries.
Follow the steps outlined in the tutorial.
Test your optimized query on a dataset.

Build a Data Pipeline Using Amazon Athena

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Building a data pipeline that incorporates Athena can give you hands-on experience with the concepts you're learning.

Browse courses on Data Pipeline

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Design your data pipeline.
Set up the necessary infrastructure.
Configure Athena to query your data.
Automate the data pipeline.
Monitor and maintain your pipeline.

Data Analysis Project

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Apply your knowledge of Amazon Athena and SQL by designing and executing a data analysis project that addresses a business problem or research question.

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Identify a suitable dataset from Amazon S3 or other sources and import it into your Athena workspace.
Define the scope and objectives of your data analysis project.
Write and execute SQL queries to extract, transform, and analyze the data.
Generate insights, draw conclusions, and present your findings in a clear and concise manner.

Career center

Learners who complete Introduction to Amazon Athena will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts explore, process, and model data to derive insights for businesses. With the skills you'll learn in this Introduction to Amazon Athena course, you might be able to help build a foundation for a career in this field. The course covers querying data using SQL, and the use of Amazon Athena. These skills can be highly relevant in this role.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists leverage statistical and programming skills to build machine learning models that make predictions based on data. This course introduces Amazon Athena, a tool that can be used for querying data using SQL. This course may be helpful in building a foundation for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work closely with data scientists and other analysts to ensure that the data used for analysis is accurate and reliable. This course covers querying data using SQL and using Amazon Athena. These skills can be highly relevant in this role.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators manage and maintain databases, ensuring that they are running smoothly and that data is secure. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Database Administrator

Business Analyst

Business Analysts use data to identify problems and opportunities for businesses. They work with stakeholders to gather requirements and develop solutions. This course introduces querying data with SQL, which is a skill used by Business Analysts to extract insights from data.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. They work with a variety of technologies, including databases. This course introduces querying data using SQL, which is a skill used by Software Engineers to interact with databases.

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Data Warehouse Architect

Data Warehouse Architects design and implement data warehouses, which are used to store and manage large amounts of data. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Data Warehouse Architect

Data Integration Specialist

Data Integration Specialists design and implement solutions to integrate data from multiple sources. This course may be useful in building a foundational understanding of querying data using SQL.

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Statistician

Statisticians collect, analyze, and interpret data to draw conclusions about the world. They use a variety of statistical techniques, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve problems in a variety of industries. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Operations Research Analyst

Risk Manager

Risk Managers identify, assess, and manage risks. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

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Compliance Analyst

Compliance Analysts ensure that companies comply with laws and regulations. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Compliance Analyst

Fraud Analyst

Fraud Analysts investigate and prevent fraud. They use a variety of tools, including SQL, to analyze data. This course may be useful in building a foundational understanding of querying data using SQL.

See salaries and explore the career path for Fraud Analyst

Reading list

We've selected five 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.

SQL and Relational Theory

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Provides the relational theory behind SQL. It good reference for gaining a deeper understanding of the subject.

SQL and Relational Theory

Paperback

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SQL and Relational Theory

Kindle Edition

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Secret Colors

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Provides a deep dive into the principles and practices of designing and building data-intensive applications. It offers a broader perspective on data management and processing, complementing the specific focus on Athena in this course.

Database Systems: The Complete Book

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Is an encyclopedic resource on database systems. It covers SQL, database design, transaction management, and other advanced topics.

Database Systems: The Complete Book

Kindle Edition

$$$

Database Systems The Complete Book

Paperback

Database Systems: The Complete Book

Hardcover

$$$$

Goal Student Access Code Card for Database Systems:...

Printed Access Code

PostgreSQL 16 Administration Cookbook

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PostgreSQL: Up and Running resource for PostgreSQL users. provides instructions on how to set up and administer PostgreSQL, as well as how to use SQL.

PostgreSQL 16 Administration Cookbook: Solve real...

Kindle Edition

Learning Spark

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Delves into Apache Spark, a powerful framework for distributed data processing. Understanding Spark's capabilities and integration with Athena can enhance your data analytics skills.

Learning Spark: Lightning-Fast Big Data Analysis

Paperback

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