Amazon Athena adds support for querying data using Logstash Grok filters
You can now use Amazon Athena to query data using Logstash Grok filters. Grok is useful for applying patterns to parse unstructured data, usually logs. The patterns are easier to use than regular expressions, because each Grok pattern is essentially a named regular expression. This makes it easier to identify and re-use deserialization patterns. Grok provides a set of pre-defined patterns. You can also create custom patterns.
You can now use Amazon Athena to query data using Logstash Grok filters. Grok is useful for applying patterns to parse unstructured data, usually logs. The patterns are easier to use than regular expressions, because each Grok pattern is essentially a named regular expression. This makes it easier to identify and re-use deserialization patterns. Grok provides a set of pre-defined patterns. You can also create custom patterns.
Please visit the Amazon Athena documentation page to learn more.