(Photo by Alexander Sinn on Unsplash)
概覽摘要 Briefing
Athena 可協助您分析 Amazon S3 中存放的非結構化、半結構化和結構化資料。範例包括 CSV、JSON 或單欄資料格式，例如 Apache Parquet 和 Apache ORC。您可以使用 Athena 使用 ANSI SQL 執行臨機操作查詢，而不需要將資料彙總或載入到 Athena。
歷史考古 History
古往今來，縱橫脈絡。
- 2023-04-28: Introducing Athena Provisioned Capacity
參考資料 Reference
範例
- Access Amazon Athena in your applications using the WebSocket API, 2023-03-02, by Abhi Sodhani and Robin Zimmerman
- How Novo Nordisk built distributed data governance and control at scale, 2023-04-28, by Jonatan Selsing, Alessandro Fior, Anwar Rizal, Moses Arthur, Hassen Riahi, and Kumari Ramar
- Implement a serverless CDC process with Apache Iceberg using Amazon DynamoDB and Amazon Athena, 2023-08-16, by Vijay Velpula, Karthikeyan Ramachandran, and Sriharsh Adari
- Apache Iceberg is an open table format for very large analytic datasets. Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. The Iceberg specification allows seamless table evolution such as schema and partition evolution, and its design is optimized for usage on Amazon Simple Storage Service (Amazon S3). Iceberg also helps guarantee data correctness under concurrent write scenarios.
- Use Amazon Athena to query data stored in Google Cloud Platform, 2023-08-15, by Jonathan Wong
文章與分享
- 中小企業該如何發展現代化資料策略, 2023-06-14, by John Walker, Dimple Dhar, and Kunle Adeleke
- In the era of big data, small and medium-sized businesses (SMBs) often find themselves wrestling with a deluge of data from an ever-growing range of sources. According to Gartner, 60 percent of organizations do not measure the costs of poor data quality. A lack of measurement results in reactive responses to data quality issues, missed business growth opportunities, and increased risks.
比較
- How is AWS Redshift Spectrum different than AWS Athena?, 2017-09-01, by Thomas Spicer