Cloudera Educational Services

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 This module is an introduction to the modern data warehouse with big data, including an overview of the data warehousing functions of Cloudera Data Platform. It provides a foundation for more detailed learning in how to use those functions. Course Length This module includes 60 minutes of video content. Hands-on exercises will take approximately 45 minutes.  Audience and Prerequisites This module is designed for database administrators, data architects, and data engineers. The module design assumes knowledge of traditional relational databases, but this is not strictly 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

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 Module This module addresses how to manage security concerns when using 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 2.25 hours. 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. 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 Module This module introduces Schema Registry and shows you how to use it with Apache NiFi. For more about streaming, see Streaming Processing, Management, and Analytics with CDF. This module is included as part of that learning path.  Course Length This module includes 1.25 hours of video content. Hands-on exercises will take approximately 1 hour.  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. 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 Module This module introduces Streams Messaging Manager (SMM) and shows you how to monitor and analyze Apache Kafka clusters using this tool. 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 1.75 hours of video content. Hands-on exercises will take approximately 1.25 hours.  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. 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 Module This module provides guidance in using Java to create applications for 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 1 hour of video content. Hands-on exercises will take approximately 1.5 hours.  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. 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 module. The module is available by purchasing the Full OnDemand Library subscription.  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. Note: Enrolling here will not give you access to the actual module. The module is available by purchasing the Full OnDemand Library subscription.  Read more