Cloudera Educational Services

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

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

About This Module This module introduces data engineers and data analysts to the Cloudera Data Warehouse (CDW) service. It introduces basic concepts, and then provides a choice to continue with a Data Engineer track, which shows how to create and tune important entities within CDW, or with a Data Analyst track, which shows how to access tables and views using different interface methods. Module Length This module includes 52 minutes of video content. The videos for the Data Analyst track add to 38 minutes; the videos for the Engineer track add to 33 minutes. Note: In order to complete the hands-on exercises for this course, students must have access to CDW through their organization. Audience and Prerequisites This module is designed for data analysts and data engineers. There are no prerequisites, though access to a working Cloudera Data Platform with CDW is required in order to complete the hands-on exercises. Grading for This Module There are seven chapters in this module, but you only need to complete four quizzes with 75% or better to pass. (One chapter does not include a quiz.)  After the first three chapters, you can choose the two Data Engineer track chapters, or the two Data Analyst track chapters. Your reported grade will include the quizzes for chapters you did not take, but the overall passing level has been lowered to 50%. This means you do not need to take the quizzes for the other track. However, you are welcome to complete all seven modules (and take all six quizzes).  Read more