AWS Big Data Blog

Category: Amazon EMR

Provide data reliability in Amazon Redshift at scale using Great Expectations library

Ensuring data reliability is one of the key objectives of maintaining data integrity and is crucial for building data trust across an organization. Data reliability means that the data is complete and accurate. It’s the catalyst for delivering trusted data analytics and insights. Incomplete or inaccurate data leads business leaders and data analysts to make […]

Improve Amazon Athena query performance using AWS Glue Data Catalog partition indexes

The AWS Glue Data Catalog provides partition indexes to accelerate queries on highly partitioned tables. In the post Improve query performance using AWS Glue partition indexes, we demonstrated how partition indexes reduce the time it takes to fetch partition information during the planning phase of queries run on Amazon EMR, Amazon Redshift Spectrum, and AWS […]

Now Available: Updated guidance on the Data Analytics Lens for AWS Well-Architected Framework

Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]

Copy large datasets from Google Cloud Storage to Amazon S3 using Amazon EMR

Data migration between GCS and Amazon S3 is possible by utilizing Hadoop’s native support for S3 object storage and using a Google-provided Hadoop connector for GCS. This post demonstrates how to configure an EMR cluster for DistCp and S3DistCP, goes over the settings and parameters for both tools, performs a copy of a test 9.4 TB dataset, and compares the performance of the copy.

Accelerate large-scale data migration validation using PyDeequ

March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on DeeQu and it offers a simplified user experience for customers who want to this open-source package. Refer to the blog and documentation for additional details. Many enterprises are migrating their […]

How Viasat scaled their big data applications by migrating to Amazon EMR

This post is co-written with Manoj Gundawar from Viasat. Viasat is a satellite internet service provider based in Carlsbad, CA, with operations across the United States and worldwide. Viasat’s ambition is to be the first truly global, scalable, broadband service provider with a mission to deliver connections that can change the world. Viasat operates across […]

Authorize SparkSQL data manipulation on Amazon EMR using Apache Ranger

This post was last updated July 2022. With Amazon EMR 6.7, all Apache Spark DDL’s are now supported, except for CREATE VIEW. For details, see the section under “limitations”. NOTE: You will need to redeploy Spark service definition (link) on your Apache Ranger server. Instructions on how to redeploy can be found here. With Amazon […]

How NortonLifelock built a serverless architecture for real-time analysis of their VPN usage metrics

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. This post presents a reference architecture and optimization strategies for building serverless data analytics solutions on AWS using Amazon Kinesis Data Analytics. In addition, this post shows […]

Configure Amazon EMR Studio and Amazon EKS to run notebooks with Amazon EMR on EKS

Amazon EMR on Amazon EKS provides a deployment option for Amazon EMR that allows you to run analytics workloads on Amazon Elastic Kubernetes Service (Amazon EKS). This is an attractive option because it allows you to run applications on a common pool of resources without having to provision infrastructure. In addition, you can use Amazon […]

Reduce costs and increase resource utilization of Apache Spark jobs on Kubernetes with Amazon EMR on Amazon EKS

Amazon EMR on Amazon EKS is a deployment option for Amazon EMR that allows you to run Apache Spark on Amazon Elastic Kubernetes Service (Amazon EKS). If you run open-source Apache Spark on Amazon EKS, you can now use Amazon EMR to automate provisioning and management, and run Apache Spark up to three times faster. […]