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Latest Videos

Cloudera Data Platform (CDP) One

Data analytics is a big deal, with big goals, and even bigger transformation. Unlocking that potential often requires big complex projects, big teams, and big budgets. Introducing Cloudera Data Platform One or CDP One. An all in one cloud service that radically simplifies the entire data lifecycle from ingestion to analysis while delivering the power of an enterprise data platform with the simplicity of a turnkey solution. CDP One integrates with all your existing tools, bringing all your siloed data together in an open data lake house without the need for specialized ops and cloud expertize.

Fraud Detection with Cloudera Stream Processing

This video shows how Cloudera DataFlow powered by Apache NiFi solves the first-mile problem by making it easy and efficient to acquire, transform, and move data so that we can enable streaming analytics use cases with very little effort. It will also briefly discuss the advantages of running this flow in a cloud-native Kubernetes deployment of Cloudera DataFlow. Then, we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required).

Introducing Applied Machine Learning Prototypes

Applied Machine Learning Prototypes (AMPs) are open source projects that will fundamentally change the way data scientists build, deploy, and monitor ML models. These fully-developed prototypes are built around common industry use cases — like Churn Prediction Monitoring, Anomaly Detection, and more — and can be customized to give you significant head start. Available in Cloudera Machine Learning, AMPs are tested, trusted, and research backed by Fast Forward Labs.

Monitoring in Edge Flow Manager | Observability with Grafana

This video explains Edge Flow Manager (EFM) integration with Prometheus and Grafana. After installing and configuring Prometheus to scrape, EFM should also be configured to expose metrics. When the time series are in place, Grafana is also installed and configured to visualize exposed metrics. There are some EFM specific Grafana dashboards that are publicly available that can be easily downloaded and imported to Grafana. When everything is configured correctly agent specific dashboards can be accessed from the EFM UI.

Industry Impact | Data-Driven Digital Transformation

Data is more than ones and zeroes. If you can put it to work, data has the power to transform your entire company, even your entire industry. With more than 2000 customers in over 85 countries, Cloudera is helping companies across industries generate more revenue, build new products and understand their customers at scale and speed.

Commands: Debug and Property Update

The support of remote issue observation, investigation and possibly resolution is a powerful new feature of Edge Flow Manager. This video shows a case where the user observes a problem via the Agent Manager UI, is able to collect additional information using the Debug Command which provides configuration, property and logs from the observed agent and in this particular case is able to resolve the issue by using the Property Update Command to reconfigure the agent remotely.

Flow Creation in Edge Flow Manager

This video shows the usage of Edge Flow Manager’s flow designer and using the example flow it explains the concept of agent classes and publishing. It goes through the Dashboard view for agent classes and the canvas for the flow designer where processors, remote process groups and funnels are also explained. To see all of this in action, a very basic flow is created with two processors and published to the MiNiFi agents under the agent class the flow is designed for. After publishing, the means of tracking the flow deployment progress are also covered.

Differences between the C++ and Java MiNiFi agents

In this video we will go through all the differences between the C++ and Java MiNiFi agents. The video shows the differences observed on the Edge Flow Manager UI ranging from different information to the presence of buttons and dropdown elements determined by the agent type. Differences in feature set and functionality are also highlighted. The two implementations also have different footprints (memory and CPU) as well as a different set of available components. This video will help you determine the MiNiFi agent that best suits your use case.

The Chief Data Officer | Digital Transformation

Today, data isn't a cost center. It's a business driver. And Chief Data Officers are responsible for using data to create real results and transform their business. Meet Ray, the CDO at a high tech global electronics manufacturer. Ray relies on the Cloudera Data Platform to bring multiple data sources together, Ray's company can connect supply chain, go-to-market and product research data in one place, while lowering the cost on their network.