About This Course In this course, we will give a walkthrough of some CDP Public Cloud data services including Dataflow, Data Engineering, Data Warehouse, Operational Database and Machine Learning. This course includes 35 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for data engineers, data analysts, developers, data scientists and administrators. Read more
About This Course In this quickstart course, we'll show you step-by-step how to connect CDP to your Azure subscription, so that you can begin to provision clusters and workloads. Course Length This course includes 45 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for administrators. Read more
About This Course In this quickstart course, we'll show you step-by-step how to connect CDP to your AWS account, so that you can begin to provision clusters and workloads. Course Length This course includes 75 minutes of video content including demonstrations. Audience and Prerequisites This OnDemand course is suitable for administrators. Read more
About This Course This course will provide you with the concepts and foundational knowledge of the Modern Data Architecture, including Data Mesh, Data Fabric, then Data Lakehouse. You'll learn these concepts and technologies as they relate to Cloudera. Course Length This module includes 75 minutes of video content. Audience and Prerequisites This OnDemand course is suitable for all audiences, including business, technical, delivery, services and data practitioners. Read more
About This Course Cloudera Data Science Workbench Training prepares learners to complete data science and machine learning projects using Cloudera Data Science Workbench (CDSW). Course Length This module includes over 4 hours of video content. Exercises are brief and require the learner to have access to a CDSW environment on a CDP cluster running Apache Spark 2. Audience and Prerequisites This OnDemand course is designed for learners at organizations using CDSW under a trial license or a commercial license. The learner must have access to a CDSW environment on a CDP cluster running Apache Spark 2. Some experience with data science using Python or R is helpful but not required. No prior knowledge of Spark or other Hadoop ecosystem tools is required. Read more
About This Module This module is an introduction to Apache Kafka. For more about Kafka, see Streaming Processing, Management, and Analytics with CDF. This module is included as part of that learning path. Course Length This module includes 40 minutes of video content. Hands-on exercises will take approximately 15 minutes. Audience and Prerequisites This module is designed for Data Engineers, Administrators, and others who want to understand stream processing administration, configuration, and applications within CDF. Though programming experience is not required, code samples are provided in Java, and basic experience with Linux is presumed. Exposure to big data concepts and applications is helpful. Read more
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