Systems | Development | Analytics | API | Testing

Data Engineering is undergoing a huge evolution requiring faster and more reliable data pipelines. Apache Spark and Python are core foundational components of this new architecture enabling data engineers to quickly develop these pipelines. They also introduce challenges when moving to production. Come join us as we: Ask questions and learn. We will also have a raffle of Cloudera swag.

In this video we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven step process.

SQL Stream Builder, part of Cloudera Streaming Analytics, allows developers, analysts, and data scientists to write streaming applications using industry-standard SQL. It provides an interactive experience, so the development process is quick, easy, and productive while taking advantage of Apache Flink’s streaming power. It provides an advanced materialized view engine to interface with applications, tooling, and services via REST API.

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.