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Latest Videos

Building Automated ML Pipelines in Cloudera Machine Learning

In this video, we'll walk through an example on how you can use Cloudera Machine Learning to run some python code that creates specific Machine Learning models. We’ll then go through some features within Cloudera Machine Learning such as job scheduling and model deployments to see how you can do some more advanced machine development operations!

Enabling kubectl for CDE

The kubectl tool provides direct administrative access to the Kubernetes cluster underlying a CDE service, which is useful for troubleshooting, among other things. This video will demonstrate how to set up kubectl access. To enable kubectl, we will need a couple of prerequisites. We wiil need the kubeconfig file from the CDE service. We will need to get and authorize the IAM user, and then need to make sure that everything is set up correctly, both for kubectl and some other tools like k9s.

Fast Forward Live: Representation Learning & Image Analysis

Good representations of data (e.g., text, images) are critical for solving many tasks (e.g., search or recommendations). But what exactly are representations, how can they be built and why are deep learning models useful? In this livestream, we will discuss these questions from a software engineering perspective and walk through a live example!

Exploring Data & Dashboard Creation on CDP Public Cloud

In this video, we'll walk through an example on how you can use Cloudera Data Warehouse to both easily run ad hoc queries against data as well as turn the results of those queries into beautiful, interactive, data visualizations and dashboards that show off the results of your data exploration.

ClouderaNow 21 - Automate Data Enrichment Pipelines

See this demo of Cloudera Data Engineering which builds upon Apache Spark and allows us to load, transform, and enrich our datasets and has built-in workload orchestration to automate these pipelines at scale. The demo will also illustrate how easy it is to go from streaming to enrichment and data pipeline automation all in an end-to-end data platform.