Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight | AWS Big Data Blog

Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, and JSON-formatted data. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

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Understanding AWS CloudFormation !Sub Syntax

fischco.org

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This article aims to demonstrate some of the many uses of the Fn::Sub syntax in the AWS CloudFormation service. Topics include:

Basic Fn::Sub and !Sub syntax
Short and long form syntax
Nested Sub and ImportValue statements
BACKGROUND
About a year ago (Sept 2016, along with YAML support) AWS added a new intrinsic function to CloudFormation: Fn::Sub. This greatly improved string concatenation in CloudFormation.

Index of /DevOps/AWS

Index of /DevOps/AWS