AWS prescriptive-guidance documentation change
Summary
Corrected URL formatting and updated documentation links
Security assessment
Changes involve URL path normalization and blog post link updates. While mentioning S3 bucket configuration, no specific security controls or vulnerabilities are addressed.
Diff
diff --git a/prescriptive-guidance/latest/automated-pdf-analysis-solution/ingestion-phase.md b/prescriptive-guidance/latest/automated-pdf-analysis-solution/ingestion-phase.md index b701f3e49..d7d4fec1a 100644 --- a//prescriptive-guidance/latest/automated-pdf-analysis-solution/ingestion-phase.md +++ b//prescriptive-guidance/latest/automated-pdf-analysis-solution/ingestion-phase.md @@ -9 +9 @@ Best practices for the ingestion phase -Your organization identifies a PDF file type that is continuously generated (for example, a daily operations report), has an identical format, and that you need to automatically and regularly extract data from. To ingest this PDF file, you need an Amazon Simple Storage Service (Amazon S3) bucket and we recommend that you create a dedicated S3 bucket. However, you can also use an existing S3 bucket. For more information about this, see [Creating a bucket](https://docs.aws.amazon.com/AmazonS3/latest/userguide/create-bucket-overview.html) in the Amazon S3 documentation. +Your organization identifies a PDF file type that is continuously generated (for example, a daily operations report), has an identical format, and that you need to automatically and regularly extract data from. To ingest this PDF file, you need an Amazon Simple Storage Service (Amazon S3) bucket and we recommend that you create a dedicated S3 bucket. However, you can also use an existing S3 bucket. For more information about this, see [Creating a bucket](https://docs.aws.amazon.com//AmazonS3/latest/userguide/create-bucket-overview.html) in the Amazon S3 documentation. @@ -11 +11 @@ Your organization identifies a PDF file type that is continuously generated (for -The S3 bucket invokes an AWS Lambda function when the new PDF file is ingested. For more information about this, see [Using an Amazon S3 trigger to invoke a Lambda function](https://docs.aws.amazon.com/lambda/latest/dg/with-s3-example.html) in the AWS Lambda documentation. +The S3 bucket invokes an AWS Lambda function when the new PDF file is ingested. For more information about this, see [Using an Amazon S3 trigger to invoke a Lambda function](https://docs.aws.amazon.com//lambda/latest/dg/with-s3-example.html) in the AWS Lambda documentation. @@ -25 +25 @@ Use the following four best practices to ensure a successful PDF file ingestion: - * Make sure that your PDF files are of good quality and clearly readable. We recommend using native PDF files, but you can also use scanned documents that are converted to a PDF format if the individual words are clear. For more information about this, see [PDF file preprocessing with Amazon Textract: Visuals detection and removal](https://aws.amazon.com/blogs/machine-learning/process-text-and-images-in-pdf-documents-with-amazon-textract/) on the AWS Machine Learning Blog. + * Make sure that your PDF files are of good quality and clearly readable. We recommend using native PDF files, but you can also use scanned documents that are converted to a PDF format if the individual words are clear. For more information about this, see [PDF file preprocessing with Amazon Textract: Visuals detection and removal](https://aws.amazon.com//blogs/machine-learning/process-text-and-images-in-pdf-documents-with-amazon-textract/) on the AWS Machine Learning Blog.