AWS Big Data Blog
Category: Technical How-to
Optimizing vector search using Amazon S3 Vectors and Amazon OpenSearch Service
We now have a public preview of two integrations between Amazon Simple Storage Service (Amazon S3) Vectors and Amazon OpenSearch Service that give you more flexibility in how you store and search vector embeddings. In this post, we walk through this seamless integration, providing you with flexible options for vector search implementation.
Introducing Jobs in Amazon SageMaker
This post demonstrates how the new jobs experience works in SageMaker Unified Studio.
Orchestrate data processing jobs, querybooks, and notebooks using visual workflow experience in Amazon SageMaker
Today, we are excited to launch a new visual workflows builder in SageMaker Unified Studio. With the new visual workflow experience, you don’t need to code the Python DAGs manually. Instead, you can visually define the orchestration workflow in SageMaker Unified Studio, and the visual definition is automatically converted to a Python DAG definition that is supported in Airflow.This post demonstrates the new visual workflow experience in SageMaker Unified Studio.
Geospatial data lakes with Amazon Redshift
In this post, we review how to set up Redshift Serverless to use geospatial data contained within a data lake to enhance maps in ArcGIS Pro. This technique helps builders and GIS analysts use available datasets in data lakes and transform it in Amazon Redshift to further enrich the data before presenting it on a map.
Develop and monitor a Spark application using existing data in Amazon S3 with Amazon SageMaker Unified Studio
In this post, we demonstrate how to develop and monitor a Spark application using existing data in Amazon S3 using SageMaker Unified Studio. The solution addresses key challenges organizations face in managing big data analytics workloads through an integrated development environment where data teams can develop, test, and refine Spark applications while leveraging EMR Serverless for dynamic resource allocation and built-in monitoring tools.
Perform per-project cost allocation in Amazon SageMaker Unified Studio
Amazon SageMaker Unified Studio enables per-project cost allocation through resource tagging, allowing organizations to track and manage costs across different projects and domains effectively. This post demonstrates how to implement cost tracking using AWS Billing and Cost Management tools, including Cost Explorer and Data Exports, to help finance and business analysts follow FinOps best practices for controlling cloud infrastructure costs.
How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture
In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.
Kaltura reduces observability operational costs by 60% with Amazon OpenSearch Service
In this post, we share how Kaltura transformed its observability strategy and technological stack by migrating from a software as a service (SaaS) logging solution to Amazon OpenSearch Service—achieving higher log retention, a 60% reduction in cost, and a centralized platform that empowers multiple teams with real-time insights.
Enforce table level access control on data lake tables using AWS Glue 5.0 with AWS Lake Formation
In this post, we show you how to enforce FTA control on AWS Glue 5.0 through Lake Formation permissions.
Implement secure hybrid and multicloud log ingestion with Amazon OpenSearch Ingestion
In this post, we demonstrate how to configure Fluent Bit, a fast and flexible log processor and router supported by various operating systems, to securely send logs from any environment to OpenSearch Ingestion using IAM Roles Anywhere.