AWS Big Data Blog

Category: Analytics

An updated Amazon QuickSight sign-in experience

This blog post was last updated on September 14th 2022 to reflect the launch being generally available in all QuickSight regions. More details here. Amazon QuickSight launched changes in the sign-in domain and a new look and feel while signing in. This doesn’t impact your access to QuickSight. In this post, we walk through changes […]

Create stunning, pixel perfect dashboards with the new free-form layout mode in Amazon QuickSight

The latest update of Amazon QuickSight introduces a new free-form dashboard layout option, along with granular per-visual interaction controls and conditional rendering options that open up a range of creative possibilities for dashboard authors. In this post, we look at the new capabilities available and how you can use them to create and share stunning […]

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 […]

Integral Ad Science secures self-service data lake using AWS Lake Formation

This post is co-written with Mat Sharpe, Technical Lead, AWS & Systems Engineering from Integral Ad Science. Integral Ad Science (IAS) is a global leader in digital media quality. The company’s mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading brands, publishers, and platforms. IAS […]

Accelerate your data warehouse migration to Amazon Redshift – Part 4

This is the fourth in a series of posts. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially reduce your overall cost to migrate to Amazon Redshift. Check out the previous posts in this series: Accelerate your […]

Accelerate your data warehouse migration to Amazon Redshift – Part 3

This is the third post in a multi-part series. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and reduce your overall cost to migrate to Amazon Redshift. Check out all the posts in this series: Accelerate your data […]

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. […]

Rapid-7 Multi-tenant Architecture

How Rapid7 built multi-tenant analytics with Amazon Redshift using near-real-time datasets

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. This is a guest post co-written by Rahul Monga, Principal Software Engineer at Rapid7. Rapid7 InsightVM is a vulnerability assessment and management product that provides visibility into the risks present across an […]

Analyze daily trading activity using transaction data from Amazon Redshift in Amazon FinSpace

Financial services organizations use data from various sources to discover new insights and improve trading decisions. Finding the right dataset and getting access to the data can frequently be a time-consuming process. For example, to analyze daily trading activity, analysts need to find a list of available databases and tables, identify its owner’s contact information, […]