AWS Big Data Blog
Best Practices for Running Apache Cassandra on Amazon EC2
In this post, we outline three Cassandra deployment options, as well as provide guidance about determining the best practices for your use case.
Amazon Redshift – 2017 Recap
We have been busy adding new features and capabilities to Amazon Redshift, and we wanted to give you a glimpse of what we’ve been doing over the past year. In this article, we recap a few of our enhancements and provide a set of resources that you can use to learn more and get the most out of your Amazon Redshift implementation.
How Realtor.com Monitors Amazon Athena Usage with AWS CloudTrail and Amazon QuickSight
In this post, I discuss how to build a solution for monitoring Athena usage. To build this solution, you rely on AWS CloudTrail. CloudTrail is a web service that records AWS API calls for your AWS account and delivers log files to an S3 bucket.
How I built a data warehouse using Amazon Redshift and AWS services in record time
Over the years, I have developed and created a number of data warehouses from scratch. Recently, I built a data warehouse for the iGaming industry single-handedly. To do it, I used the power and flexibility of Amazon Redshift and the wider AWS data management ecosystem. In this post, I explain how I was able to build a robust and scalable data warehouse without the large team of experts typically needed.
Build a Multi-Tenant Amazon EMR Cluster with Kerberos, Microsoft Active Directory Integration and IAM Roles for EMRFS
In this post, we will discuss what EMRFS authorization is (Amazon S3 storage-level access control) and show how to configure the role mappings with detailed examples.
Dynamically Create Friendly URLs for Your Amazon EMR Web Interfaces
This solution provides a serverless approach to automatically assigning a friendly name for your EMR cluster for easy access to popular notebooks and other web interfaces.
Top 9 Best Practices for High-Performance ETL Processing Using Amazon Redshift
When migrating from a legacy data warehouse to Amazon Redshift, it is tempting to adopt a lift-and-shift approach, but this can result in performance and scale issues long term. This post guides you through the following best practices for ensuring optimal, consistent runtimes for your ETL processes.
Optimize Delivery of Trending, Personalized News Using Amazon Kinesis and Related Services
Gunosy aims to provide people with the content they want without the stress of dealing with a large influx of information. We analyze user attributes, such as gender and age, and past activity logs like click-through rate (CTR). We combine this information with article attributes to provide trending, personalized news articles to users. In this post, I show you how to process user activity logs in real time using Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, and related AWS services.
AWS Glue Now Supports Scala Scripts
We are excited to announce AWS Glue support for running ETL (extract, transform, and load) scripts in Scala. Scala lovers can rejoice because they now have one more powerful tool in their arsenal.
Use Kerberos Authentication to Integrate Amazon EMR with Microsoft Active Directory
This post walks you through the process of using AWS CloudFormation to set up a cross-realm trust and extend authentication from an Active Directory network into an Amazon EMR cluster with Kerberos enabled. By establishing a cross-realm trust, Active Directory users can use their Active Directory credentials to access an Amazon EMR cluster and run jobs as themselves.









