AWS Big Data Blog

Category: AWS re:Invent

Attendee guide for the AWS Analytics track at AWS re:Invent 2021

AWS re:Invent is a learning conference hosted by Amazon Web Services (AWS) for the global cloud computing community. We’re super excited to join you at the 10th annual re:Invent to share the latest from AWS leaders and discover more ways to learn and build. Let’s celebrate this milestone, which will be offered in person in […]

Amazon Redshift at re:Invent 2019

The annual AWS re:Invent learning conference is an exciting time full of new product and program launches. At the first re:Invent conference in 2012, AWS announced Amazon Redshift. Since then, tens of thousands of customers have started using Amazon Redshift as their cloud data warehouse. In 2019, AWS shared several significant launches and dozens of […]

Retain more for less with UltraWarm for Amazon OpenSearch Service

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Machine-generated data powers solutions and causes problems. It’s indispensable for identifying operational issues in today’s modern software applications, yet you need flexible, scalable tools like Amazon OpenSearch Service to analyze it in real time. This log data is so valuable […]

AWS Quick Sight announces ML Insights in preview

AWS Quick Sight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues […]

AWS Big Data & Analytics Sessions at Re:Invent 2017

We can’t believe that there are just few days left before re:Invent 2017. If you are attending this year, you’ll want to check out our Big Data sessions! The Big Data and Machine Learning categories are bigger than ever. This post highlights the sessions that will be presented as part of the Analytics & Big Data track, as well as relevant sessions from other tracks like Architecture, Artificial Intelligence & Machine Learning, and IoT.