AWS re:Invent 2017: Deep Dive and Best Practices for Amazon Athena (ABD339)
Amazon Athena is an interactive query service that enables you to process data directly from Amazon S3 without the need for infrastructure. Since its launch at re:invent 2016, several organizations have adopted Athena as the central tool to process all their data. In this talk, we dive deep into the most common use cases, including working with other AWS services. We review the best practices for creating tables and partitions and performance optimizations. We also dive into how Athena handles security, authorization, and authentication. Lastly, we hear from a customer who has reduced costs and improved time to market by deploying Athena across their organization.

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AWS re:Invent 2017: [REPEAT] Which Database to Use When? (DAT310-R)

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AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)

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AWS re:Invent 2018: Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)

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Designing Data-Intensive Applications: Chapters 1 and 2
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AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)

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Data Analytics for Beginners | Data Analytics Training | Data Analytics Course | Intellipaat

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Deep Dive into LLMs like ChatGPT
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AWS re:Invent 2018: [REPEAT 1] Deep Dive and Best Practices for Amazon Redshift (ANT401-R1)

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AWS re:Invent 2018: High Performance Data Streaming with Amazon Kinesis: Best Practices (ANT322-R1)
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Beginner to T-SQL [Full Course]

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