AWS Big Data Blog

Starting from release 6.14, Amazon EMR Studio supports interactive analytics on Amazon EMR Serverless. You can now use EMR Serverless applications as the compute, in addition to Amazon EMR on EC2 clusters and Amazon EMR on EKS virtual clusters, to run JupyterLab notebooks from EMR Studio Workspaces. EMR Studio is an integrated development environment (IDE) […]

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure. In Airflow, Directed Acyclic Graphs (DAGs) are defined as Python code. […]

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability. With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine […]

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. Customers use Amazon MWAA to manage the scalability, availability, and security of their Apache Airflow environments. As they design more intensive, complex, and ever-growing […]

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are […]

Our zero-ETL integration with Amazon Redshift facilitates point-to-point data movement to get it ready for analytics, artificial intelligence (AI) and machine learning (ML) using Amazon Redshift on petabytes of data. In this post, we provide step-by-step guidance on how to get started with near real time operational analytics using the Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift.

Last week, we announced the general availability of the integration between Amazon DataZone and AWS Lake Formation hybrid access mode. In this post, we share how this new feature helps you simplify the way you use Amazon DataZone to enable secure and governed sharing of your data in the AWS Glue Data Catalog. We also […]

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. In this post, we describe Aura’s successful and swift adoption of Redshift Serverless, which allowed them to optimize their overall bidding advertisement campaigns’ time to market from 24 hours to 2 hours. We explore why Aura chose this solution and what technological challenges it helped solve.

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project. However, developing […]