Category: Intermediate (200)

In this post, we provide an approach to reuse your existing client certificates without reissuing them through AWS Certificate Manager (ACM) Private Certificate Authority. This solution enables an accelerated migration path by using your current third-party CA infrastructure. This removes the complexity and operational overhead of certificate re-issuance while maintaining the security posture that you’ve established with your existing mTLS implementation.

In this post, we demonstrate how to use the metadata export capability in Amazon SageMaker Catalog and perform analytics such as historical changes, monitor asset growth and track metadata improvements.

In this post, you build a unified pipeline using Apache Iceberg and Amazon Managed Service for Apache Flink that replaces the dual-pipeline approach. This walkthrough is for intermediate AWS users who are comfortable with Amazon Simple Storage Service (Amazon S3) and AWS Glue Data Catalog but new to streaming from Apache Iceberg tables.

This post explores how combining Babel Street Match with OpenSearch Service provides a solution that helps your organization to handle large-scale, multilingual data.

In this post, we demonstrate how Notebooks in Amazon SageMaker Unified Studio help you get to insights faster by simplifying infrastructure configuration. You’ll see how to analyze housing price data, create scalable data tables, run distributed profiling, and train machine learning (ML) models within a single notebook environment.

In this blog post, we use Athena and Amazon SageMaker Unified Studio to explore Parquet Column Indexes and demonstrate how they can improve Iceberg query performance. We explain what Parquet Column Indexes are, demonstrate their performance benefits, and show you how to use them in your applications.

In this post, we’ll show you how to use Kiro powers, a new capability that equips Kiro with contextual knowledge and tooling. You can simplify your MSK cluster management, from initial setup to diagnosing common issues, all through natural language conversations.

In this post, we show you how to build a serverless, low-cost monitoring solution for Amazon Redshift Serverless that proactively detects performance anomalies and sends actionable alerts directly to your selected Slack channels.

In this post, we provide implementation guidance for building integrated analytics solutions that combine the generative BI features of Amazon Quick with Amazon Redshift and Amazon Athena SQL analytics capabilities.

In this post, we show you how to use Apache Airflow tags to systematically manage DAG permissions, reducing operational burden while maintaining robust security controls that complement infrastructure-level security measures.