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Amazon Athena Deep Dive

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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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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

Coming soon We're preparing activities for Amazon Athena Deep Dive. These are activities you can do either before, during, or after a course.

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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