Systems | Development | Analytics | API | Testing

In this video we go over the Cloudera Data Engineering Experience, a new way for data engineers to easily manage spark jobs in a production environment. We'll go over a few of the key features as well as a quick demo on how to launch your first simple python ETL spark job. You'll see how to schedule as well as analyze a job once the run is complete.

The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.

This video describes Zeppelin Architecture and Operational Workflow.

Today I'm going to show you how to run Data Engineering workloads on Cloudera Data Hub. First we'll deploy a Data Hub cluster with Zeppelin and Spark. Then, I'll show you an example of a pyspark job accessing data on S3. After that we'll run another pyspark job to access data in Hive.

This short video is meant to provide a quick preview of the customer experience for CDP on Microsoft Azure covering topics like CDP procurement through the Azure Marketplace and key user experiences including SDX, Data Hub, Data Warehouse and Machine Learning.

In this video I'll show you how to get started with Cloudera Data Warehouse in CDP public cloud. I'll walk you through activating an environment for use with the Data Warehouse experience, creating a Virtual Warehouse, and then loading in some data. After loading data in, I'll show you how to connect your Virtual Warehouse to Tableau.

Cloudera Data Platform (CDP) on Public Cloud makes being an admin for a big data platform even easier thanks to SDX. Watch me spend a day at a temp position for Aperture Cybertronics as their Data Admin. I'll quickly deploy clusters, grants users access, and change performance settings such as autoscaling for the Aperture Cybertornics' staff.

Cloudera Data Warehouse is just one of the many experiences you can use on the Cloudera Data Platform (CDP). Cloudera Data warehouse packages up the projects you may already know and use such as Impala and Hive into a service. This Service runs on Kubernetes which gives it the ability to pause, resume, scale up, or down quickly and automatically.

Cloudera Manager's look has been updated with the arrival of the Cloudera Data Platform. Although CDP is largely configured and controlled through the Control Plane, there are still some options available to you in Cloudera Manager when working with an Environment or in a Data Hub cluster. This quick tour of the different views and menus will hopefully help you align yourself to the new layout.

Data Hub is just one of the many experiences you can use on the Cloudera Data Platform (CDP). With Data Hub you can quickly create clusters to handle various workloads. Data hub is a Platform as a service offering, giving the user full control to provision whatever hardware and services they need to work on complex multi-analytic workloads with enterprise security and governance.