AWS Big Data Blog

In this post, we demonstrate how to use Lake Formation for read access while continuing to use AWS Identity and Access Management (IAM) policy-based permissions for write workloads that update the schema and upsert (insert and update combined) data records into the Iceberg tables.

Amazon SageMaker Lakehouse is a unified, open, and secure data lakehouse that now seamlessly integrates with Amazon S3 Tables, the first cloud object store with built-in Apache Iceberg support. In this post, we guide you how to use various analytics services using the integration of SageMaker Lakehouse with S3 Tables.

In this blog post, we demonstrate how to use Amazon MWAA for centralized orchestration, while distributing data processing and machine learning tasks across different AWS accounts and Regions for optimal performance and compliance.

In this post, we walk you through the process of setting up ThoughtSpot integration with Amazon Redshift using IAM Identity Center authentication. The solution provides a secure, streamlined analytics environment that empowers your team to focus on what matters most: discovering and sharing valuable business insights.

We’re excited to introduce a new enhancement to the search experience in Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker—exact match search using technical identifiers. In this post, we demonstrate how to streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio.

In this post, we explain how the new connector works. We also show how you can manage your Prometheus metrics data cardinality by preprocessing raw data with Flink to build real-time observability with Amazon Managed Service for Prometheus and Amazon Managed Grafana.

This post demonstrates how to implement reliable concurrent write handling mechanisms in Iceberg tables. We will explore Iceberg’s concurrency model, examine common conflict scenarios, and provide practical implementation patterns of both automatic retry mechanisms and situations requiring custom conflict resolution logic for building resilient data pipelines. We will also cover the pattern with automatic compaction through AWS Glue Data Catalog table optimization.

In this post, we discuss how to create AWS endpoint services to improve data security with Private Connect for Salesforce Data Cloud.

In this blog post, we show you the process of integrating TwelveLabs Embed API with OpenSearch Service to create a multimodal search solution. You’ll learn how to generate rich, contextual embeddings from video content and use OpenSearch Service’s vector database capabilities to enable search functionalities. By the end of this post, you’ll be equipped with the knowledge to implement a system that can transform the way your organization handles and extracts value from video content.

In this post, we show you how to use Amazon OpenSearch Service and Amazon Managed Grafana to correlate the various observability signals that improve root cause analysis, thereby resulting in reduced Mean Time to Resolution (MTTR). We also provide a reference solution that can be used at scale for proactive monitoring of enterprise applications to avoid a problem before they occur.