Examples of using Amazon athena in English and their translations into German
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Ecclesiastic
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Political
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Computer
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Programming
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Official/political
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Political
This release supports Amazon Athena.
Amazon Athena Added in September 2017.
Querying Inventory with Amazon Athena.
You can access Amazon Athena using the AWS CLI.
Amazon Athena enables application programming for Athena. .
Connecting to Amazon Athena with ODBC.
One way to analyze your access logs is to use Amazon Athena.
A view in Amazon Athena is a logical, not a physical table.
For information, see Connecting to Amazon Athena with ODBC.
Use the Amazon Athena connector to connect to Amazon Athena data.
This tutorial walks you through using Amazon Athena to query data.
Amazon Athena uses IAM policies to restrict access to Athena operations.
Upgraded the underlying engine in Amazon Athena to a version based on Presto version 0.172.
In Amazon Athena, you can create tables from external data and include the JSON-encoded data in them.
To learn more,see Querying Amazon CloudFront Logs in the Amazon Athena User Guide.
Note: The Amazon Athena driver is a JDBC driver so it doesn't require an odbc. ini file.
If you have already signed up for Amazon Web Services(AWS),you can start using Amazon Athena immediately.
Describes Amazon Athena features, improvements, and bug fixes by release date.
For more information about these formats and other ways to improve performance,see Top Performance Tuning tips for Amazon Athena.
Amazon Athena manages its own data catalog until the time that AWS Glue releases in the Athena region.
For more information, see Accessing Amazon Athena with JDBC, the AWS CLI, or the Amazon Athena API Reference.
Amazon Athena lets you parse JSON-encoded values, extract data from JSON, search for values, and find length and size of JSON arrays.
You can query Amazon S3 inventory using standard SQL by using Amazon Athena in all Regions where Athena is available.
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service(Amazon S3) using standard SQL.
For more information about commonscenarios and query tips, see Create Tables in Amazon Athena from Nested JSON and Mappings Using JSONSerDe.
For information about a detailed example, see the AWS Big Data Blog post, Analyze Security, Compliance,and Operational Activity Using AWS CloudTrail and Amazon Athena.
You can query Amazon S3 inventory using standard SQL by using Amazon Athena, Amazon Redshift Spectrum, and other tools such as Presto, Apache Hive, and Apache Spark.
For more information about these issues and troubleshooting practices, see the AWS Knowledge Center Article I receive errorswhen I try to read JSON data in Amazon Athena.
Amazon Athena supports a subset of data definition language(DDL) statements and ANSI SQL functions and operators to define and query external tables where data resides in Amazon Simple Storage Service.
This section includes several procedures for using Amazon Athena to query popular datasets, such as AWS CloudTrail logs, Amazon CloudFront logs, Classic Load Balancer logs, Application Load Balancer logs, and Amazon VPC flow logs.
