AWS Big Data Blog

At Open Universities Australia (OUA), we empower students to explore a vast array of degrees from renowned Australian universities, all delivered through online learning. In this post, we show you how we used AWS services to replace our existing third-party ETL tool, improving the team’s productivity and producing a significant reduction in our ETL operational costs.

In this post, we dive into the transformative features of EMR on Outposts, showcasing its flexibility as a native hybrid data analytics service that allows seamless data access and processing both on premises and in the cloud.

In our previous thought leadership blog post Why a Cloud Operating Model we defined a COE Framework and showed why MuleSoft implemented it and the benefits they received from it. In this post, we’ll dive into the technical implementation describing how MuleSoft used Amazon EventBridge, Amazon Redshift, Amazon Redshift Spectrum, Amazon S3, & AWS Glue to implement it.

OpenSearch Vector Engine can now run vector search at a third of the cost on OpenSearch 2.17+ domains. You can now configure k-NN (vector) indexes to run on disk mode, optimizing it for memory-constrained environments, and enable low-cost, accurate vector search that responds in low hundreds of milliseconds. Disk mode provides an economical alternative to memory mode when you don’t need near single-digit latency. In this post, you’ll learn about the benefits of this new feature, the underlying mechanics, customer success stories, and getting started.

In this post, we will show you how Databricks on AWS general purpose compute can integrate with the AWS Glue Iceberg REST Catalog for metadata access and use Lake Formation for data access. To keep the setup in this post straightforward, the Glue Iceberg REST Catalog and Databricks cluster share the same AWS account.

In this post, we demonstrate how to use the OpenSearch Ingestion’s Lambda processor to generate embeddings for your source data and ingest them to an OpenSearch Serverless vector collection. This solution uses the flexibility of OpenSearch Ingestion pipelines with a Lambda processor to dynamically generate embeddings.

In this post, we address common challenges associated with manual MSK topic configuration management and present a robust Terraform-based solution. This solution supports both provisioned and serverless MSK clusters.

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone, to make data discoverable by data consumers across different business units so that they can innovate faster. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

Juicebox is an AI-powered talent sourcing search engine, using advanced natural language models to help recruiters identify the best candidates from a vast dataset of over 800 million profiles. At the core of this functionality is Amazon OpenSearch Service, which provides the backbone for Juicebox’s powerful search infrastructure, enabling a seamless combination of traditional full-text search methods with modern, cutting-edge semantic search capabilities. In this post, we share how Juicebox uses OpenSearch Service for improved search.

This post showcases how to use Spark on AWS Glue to seamlessly ingest data into OpenSearch Service. We cover batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS.