Cloudera Educational Services

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

Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  About This Course Cloudera's Introduction to Apache Kudu course teaches students the basics of Apache Kudu, a data storage system for the Hadoop platform that is optimized for both analytical queries and the ability to read and write individual records. The course covers common Kudu use cases and Kudu architecture. Students will learn how to create, manage, and query Kudu tables using Impala, and to develop Spark applications that use data stored in Kudu. Course Length This module includes 1 hour of video content. Hands-on exercises will take approximately 3 hours. Subscribers to the Cloudera OnDemand Full Library are given 100 hours of lab time to use across all courses. Audience and Prerequisites This material is intended for a broad audience of students involved with either software development or data analysis. This would include software developers, data engineers, DBAs, data scientists, and data analysts. Students should know SQL. Familiarity with Impala is preferred but not required. Students should also know how to develop Apache Spark applications using either Python or Scala. Basic Linux experience is expected. Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  Read more

Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  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 6 hours of video content. 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. Note: Enrolling here will not give you access to the actual course. The course is available by purchasing the Full OnDemand Library subscription.  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