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[其他] Amazon Athena: Query S3 Using SQL

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狗活于世︺ 发表于 2016-12-1 05:29:12
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
  Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
                    

Amazon Athena: Query S3 Using SQL

Amazon Athena: Query S3 Using SQL-1-技术控-standard,complex,seconds,service,without
                   Start Querying Instantly

       Serverless. No ETL.

     Athena is serverless. You can quickly query your data without having to setup and manage any servers or data warehouses. Just point to your data in Amazon S3, define the schema, and start querying using the built-in query editor. Amazon Athena allows you to tap into all your data in S3 without the need to set up complex processes to extract, transform, and load the data (ETL).
                             

Amazon Athena: Query S3 Using SQL

Amazon Athena: Query S3 Using SQL-2-技术控-standard,complex,seconds,service,without
                   Pay Per Query

      Only pay for data scanned.
     With Amazon Athena, you pay only for the queries that you run. You are charged $5 per terabyte scanned by your queries. You can save from 30% to 90% on your per-query costs and get better performance by compressing, partitioning, and converting your data into columnar formats. Athena queries data directly in Amazon S3. There are no additional storage charges beyond S3.
                             

Amazon Athena: Query S3 Using SQL

Amazon Athena: Query S3 Using SQL-3-技术控-standard,complex,seconds,service,without
                   Open. Powerful. Standard

       Built on Presto. Runs standard SQL.

     Amazon Athena uses Presto with ANSI SQL support and works with a variety of standard data formats, including CSV, JSON, ORC, and Parquet. Athena is ideal for quick, ad-hoc querying but it can also handle complex analysis, including large joins, window functions, and arrays. Amazon Athena is highly available; and executes queries using compute resources across multiple facilities and multiple devices in each facility. Amazon Athena uses Amazon S3 as its underlying data store, making your data highly available and durable.
                       

Amazon Athena: Query S3 Using SQL

Amazon Athena: Query S3 Using SQL-4-技术控-standard,complex,seconds,service,without
               Fast. Really Fast

     Interactive performance even for large datasets
    With Amazon Athena, you don't have to worry about having enough compute resources to get fast, interactive query performance. Amazon Athena automatically executes queries in parallel, so most results come back within seconds.



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宛儿 发表于 2016-12-1 07:46:28
来,来,干了这杯翔!
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风格性 发表于 2016-12-1 10:13:28
灌水?挽尊?求粉?不,都不是,风格性只是过路的
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加菲寻 发表于 2016-12-2 17:08:14
视死如归的架势啊!
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bcbc1y7j 发表于 2016-12-2 23:06:45
路边的野花不要,踩。  
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丁仕杰 发表于 2016-12-3 04:12:27
在技术控版块混了这么久了,第一次看见这么给力的帖子!
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东福海顺风7 发表于 2016-12-23 12:22:53
看完了这么强的文章,我想说点什么,但是又不知道说什么好,想来想去还是想想就好了
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