AWS Big Data Blog

Category: Advanced (300)

Automate and accelerate your Amazon QuickSight asset deployments using the new APIs

Business intelligence (BI) and IT operations (BIOps) teams often need to automate and accelerate the deployment of BI assets to ensure business continuity. We heard that you wanted an automated and scalable way to deploy, back up, and replicate Amazon QuickSight assets at scale so that BIOps teams within your organization can work in an […]

Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast […]

Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during […]

Set up alerts and orchestrate data quality rules with AWS Glue Data Quality

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. By establishing and configuring alerts and notifications, you can actively monitor data quality and receive timely alerts when data quality issues are identified. This proactive approach […]

Set up advanced rules to validate quality of multiple datasets with AWS Glue Data Quality

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the […]

Getting started with AWS Glue Data Quality from the AWS Glue Data Catalog

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of […]

Enable complex row-level security in embedded dashboards for non-provisioned users in Amazon QuickSight with OR-based tags

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, both within QuickSight and embedded in your software as a service (SaaS) applications. QuickSight Enterprise edition started supporting nested conditions within row-level security […]

Real-time inference using deep learning within Amazon Managed Service for Apache Flink

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Apache Flink is a framework and distributed processing engine for stateful computations over data streams. Amazon Managed Service for Apache Flink is a fully managed service that […]

Configure Amazon OpenSearch Service for high availability

September 2025: This post was reviewed for accuracy. Amazon OpenSearch Service is a fully open-source search and analytics engine that securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like recommendation engines, ecommerce sites, and catalog search. To be successful in your business, you need your systems to be […]

Automate alerting and reporting for AWS Glue job resource usage

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset. Many organizations today are using AWS Glue to build ETL pipelines that bring data […]