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Noreen Hasan
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/yrfwqw/introduction
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Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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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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
Show steps
Collaborate with peers to discuss best practices for optimizing SQL queries in Amazon Athena, exploring techniques such as partitioning, filtering, and data compression.
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Writing SQL queries on Athena can help you solidify your understanding of the concepts covered in this course.
Browse courses on
Athena
Show steps
-
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
Expand to see all activities and additional details
Show all seven activities
SQL Querying Exercises
Show steps
Strengthen your SQL querying skills by practicing various scenarios and use cases involving real-world data in Amazon S3.
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Building a data pipeline that incorporates Athena can give you hands-on experience with the concepts you're learning.
Browse courses on
Data Pipeline
Show steps
-
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
Show steps
Apply your knowledge of Amazon Athena and SQL by designing and executing a data analysis project that addresses a business problem or research question.
Show steps
-
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.
Athena Query Optimization Discussion
Show steps
Collaborate with peers to discuss best practices for optimizing SQL queries in Amazon Athena, exploring techniques such as partitioning, filtering, and data compression.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Writing SQL queries on Athena can help you solidify your understanding of the concepts covered in this course.
Browse courses on
Athena
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all seven activities
SQL Querying Exercises
Show steps
Strengthen your SQL querying skills by practicing various scenarios and use cases involving real-world data in Amazon S3.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Building a data pipeline that incorporates Athena can give you hands-on experience with the concepts you're learning.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- 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
Show steps
Apply your knowledge of Amazon Athena and SQL by designing and executing a data analysis project that addresses a business problem or research question.
Show steps
Show steps
Show steps
- 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 Scientist
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.
Data Analyst
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.
Data Engineer
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.
Statistician
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.
Software Engineer
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.
Fraud 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.
Database Administrator
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.
Data Integration Specialist
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.
Quantitative Analyst
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.
Actuary
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.
Risk Manager
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.
Compliance Analyst
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.
Data Warehouse Architect
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.
Business Analyst
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.
Operations Research Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/yrfwqw/introduction
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.
Provides the relational theory behind SQL. It good reference for gaining a deeper understanding of the subject.
Save
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.
Is an encyclopedic resource on database systems. It covers SQL, database design, transaction management, and other advanced topics.
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yrfwqw/introduction
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Time
105 hours
Level
Intermediate
Via
Pluralsight
Instructor
Noreen Hasan
Language
English
Good to know
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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