Systems | Development | Analytics | API | Testing

In today’s video, we’re going to take a workload that trains an image classification neural net and show how you can use Cloudera Machine Learning to leverage Nvidia GPUs to achieve impressive speed improvements without any substantial code changes.

NVIDIA and Cloudera have partnered to bring NVIDIA GPU acceleration to the Cloudera Data Platform (CDP). In this quick demo, you can see how using GPUs can cut the time of an example ETL Spark job from over two hours to just a few minutes.

Cloudera Operational Database (COD) is an operational database as a service that brings ease of use and flexibility. Let’s see how easy it is to create a new database! Once you have created your environment, navigate to the COD Web interface. It takes you to the Databases page. Click Create Database, select the applicable environment, provide a name for your database and click Create Database. The creation of your new database is in progress. Once its status becomes Available it is ready to be used.

This video describes a way to hide the plain text passwords in Knox topology. The passwords are basically the Bind User passwords when used in ShiroProvider and LDAP/AD authentication.

Join us to talk about Replication Manager, RBAC, and Custom Images - all things to make your life easier. Don't miss the live Q&A during the session!

Our “Hello, “ series of introductory “Big Data” topic-focused meetups returns to Boston in July as we deliver our fifth event. This meetup will introduce you to Apache Kafka without assuming you’ve heard anything about the Apache development project, the problems that Kafka was designed to solve or the role it currently plays in modern enterprise data architectures.

Is your business looking for a simpler way to access digital information faster? Do you know your developer and analytics teams, who have SQL skills, can now easily create streaming analytics for your business needs? This new demo jam webinar will showcase Cloudera Streaming Analytics with SQL Stream Builder and demonstrate how easy it is to create streaming queries using Apache Flink. Just like the previous session, this will be a no-slide, highly interactive demo-only session where you get to choose what you want to see based on live polling. This session is led by Kenny Gorman, Product Owner of Streaming Processing and Erik Beebe, Principal Stream Processing Engineer.