AWS Big Data Blog
Running an External Zeppelin Instance using S3 Backed Notebooks with Spark on Amazon EMR
Dominic Murphy is an Enterprise Solution Architect with Amazon Web Services Apache Zeppelin is an open source GUI which creates interactive and collaborative notebooks for data exploration using Spark. You can use Scala, Python, SQL (using Spark SQL), or HiveQL to manipulate data and quickly visualize results. Zeppelin notebooks can be shared among several users, […]
Month in Review: December 2015
Lots for big data enthusiasts in December on the AWS Big Data Blog. Take a look! Top 10 Performance Tuning Techniques for Amazon Redshift “This post takes you through the most common issues that customers find as they adopt Amazon Redshift, and gives you concrete guidance on how to address each.” Migrating Metadata when Encrypting […]
Query Routing and Rewrite: Introducing pgbouncer-rr for Amazon Redshift and PostgreSQL
This post was last reviewed and updated August, 2022 with a section on Deploying pgbouncer in Elastic Kubernetes Service (EKS). NOTE: You can now use federated queries in Amazon Redshift to query and analyze data across operational databases, data warehouses, and data lakes. For more information, please review the Amazon Redshift documentation article, “Querying Data […]
Securely Access Web Interfaces on Amazon EMR Launched in a Private Subnet
Ben Snively is a Solutions Architect with AWS Private subnets allow you to limit access to deployed components, and to control security and routing of the system. You can also use a private subnet to connect an on-premises local network to AWS through a VPN or AWS Direct Connect. Amazon EMR allows customers to launch […]
Performance Tuning Your Titan Graph Database on AWS
At AWS re:Invent 2017, we announced the preview of Amazon Neptune, a fast and reliable graph database built for the cloud. Neptune is fully managed and highly available, and it includes read replicas, point-in-time recovery, and continuous backups to Amazon S3. If you are about to build an application yourself and need a graph database, […]
Migrating Metadata when Encrypting an Amazon Redshift Cluster
NOTE: Amazon Redshift now supports enabling and disabling encryption with 1-click. For more information, please review this “What’s New” post. ————————————— John Loughlin is a Solutions Architect with Amazon Web Services. A customer came to us asking for help expanding and modifying their Amazon Redshift cluster. In the course of responding to their request, we […]
Big Data AWS Training Course Gets Big Update
Michael Stroh is Communications Manager for AWS Training & Certification AWS offers a number of in-depth technical training courses, which we’re regularly updating in response to student feedback and changes to the AWS platform. Today I want to tell you about some exciting changes to Big Data on AWS, our most comprehensive training course on […]
Building a Near Real-Time Discovery Platform with AWS
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Assaf Mentzer is a Senior Consultant for AWS Professional Services In the spirit of the U.S presidential […]
Integrating Splunk with Amazon Kinesis Streams
Prahlad Rao is a Solutions Architect wih AWS It is important to not only be able to stream and ingest terabytes of data at scale, but to quickly get insights and visualize data using available tools and technologies. The Amazon Kinesis platform of managed services enables continuous capture and stores terabytes of data per hour from […]
Using AWS Lambda for Event-driven Data Processing Pipelines
February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

