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  2. docs.aws.amazon.com › athena › latestSELECT - Amazon Athena

    For information about using SQL that is specific to Athena, see Considerations and limitations for SQL queries in Amazon Athena and Run SQL queries in Amazon Athena. For an example of creating a database, creating a table, and running a SELECT query on the table in Athena, see Get started.

    • Amazon Athena

      You can run SQL queries using Amazon Athena on data sources...

    • Insert Into

      Files written to Amazon S3. Athena writes files to source...

    • CTAS

      A CREATE TABLE AS SELECT (CTAS) query creates a new table in...

  3. docs.aws.amazon.com › athena › latestRun SQL queries in Amazon Athena - Amazon Athena

    You can run SQL queries using Amazon Athena on data sources that are registered with the AWS Glue Data Catalog and data sources such as Hive metastores and Amazon DocumentDB instances that you connect to using the Athena Federated Query feature.

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  5. docs.aws.amazon.com › athena › latestSQL reference for Athena - Amazon Athena - docs.aws.amazon.com

    Sep 9, 2024 · SQL reference for Athena. PDF RSS. Amazon Athena supports a subset of Data Definition Language (DDL) and Data Manipulation Language (DML) statements, functions, operators, and data types. With some exceptions, Athena DDL is based on HiveQL DDL and Athena DML is based on Trino.

  6. www.learnaws.org › 2022/01/16 › aws-athena-boto3-guideAWS Athena, Boto3 and Python: Complete Guide with examples

    • Introduction
    • Prerequisites
    • How to Store Structured Data in S3 Bucket?
    • How to Check The Status of A Query in Athena?
    • How to Create A New Database in Athena?
    • How to Create A New Table in Athena?
    • How to Query A Table in Athena?
    • How to Access The Results of A query?

    AWS Athenais a serverless query platform that makes it easy to query and analyze data in Amazon S3 using standard SQL. In this article, we will look at how to use the Amazon Boto3library to query structured data stored in AWS. We will be discussing the following steps in this tutorial: 1. Creating an S3 bucket 2. Storing structured data in S3 3. Cr...

    See full list on learnaws.org

    AWS CLI
    Python3
    Boto3: Boto3 can be installed using pip:pip install boto3
    AWS Credentials: If you haven’t setup your AWS credentials before, this resource from AWSis helpful.

    See full list on learnaws.org

    We will store this dataseton funding data from Techcrunch for this tutorial. To upload this file to S3, use the following commands: Output:

    See full list on learnaws.org

    We will use the get_query_execution method to check the status of the query. The method takes the ExecutionIdof the query as input.

    See full list on learnaws.org

    We will use the start_query_executionmethod to create a new database in Athena. We are creating a new database named athena_tutorial and storing the output of the query in s3://learnaws-athena-tutorial/queries/.

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    We will be creating a table called funding_datain Athena based on the schema of our CSV. To do so, we will create the following DDL and store it in a file name ‘funding_table.ddl`. Next, we will use this DDL file to initiate a query to create the table in Athena.

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    We can use standard SQL to query the table. In the following example, we will retrieve the number of rows in our dataset:

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    The results of any query is stored in the output location provided during the query itself. We can access the results of the query as follows: Output:

    See full list on learnaws.org

  7. aws.amazon.com › blogs › awsAmazon Athena – Interactive SQL Queries for Data in Amazon S3

    Nov 30, 2016 · Athena is a new serverless query service that makes it easy to analyze large amounts of data stored in Amazon S3 using Standard SQL. You simply point Athena at some data stored in Amazon Simple Storage Service (Amazon S3) , identify your fields, run your queries, and get results in seconds.

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  8. aws.amazon.com › blogs › big-dataAnalyzing Data in S3 using Amazon Athena | AWS Big Data Blog

    Nov 30, 2016 · Amazon Athena allows you to analyze data in S3 using standard SQL, without the need to manage any infrastructure. You can also access Athena via a business intelligence tool, by using the JDBC driver. Athena charges you on the amount of data scanned per query.

  9. blog.openbridge.com › what-is-aws-athenaThe Ultimate Cheat Sheet On Amazon Athena | by ... - Medium

    Jan 18, 2018 · What is AWS Athena? A serverless query service that uses standard SQL. Uses data stored as objects on Amazon S3. Supports federated queries to other data systems. Has no infrastructure to manage. You only pay only for the queries you run. Based on Facebook Presto, an open-source distributed Presto SQL query engine.