Upcoming Sessions
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October
27
ILT - DGOV-221: Controlling with Cloudera Data Governance - 4084544 - for ASD
Starting:2024/10/27 @ 10:00 PM (GMT+00:00) UTCEnding:2024/10/29 @ 06:00 AM (GMT+00:00) UTCType:Multi-day Session -
November
5
ILT - DENG-254: Preparing with Cloudera Data Engineering - 3704803
Starting:2024/11/05 @ 08:00 AM (GMT+00:00) UTCEnding:2024/11/08 @ 04:00 PM (GMT+00:00) UTCType:Multi-day Session
See All Upcoming Sessions
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
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 provides training on Kafka Connect, which enables streaming integration between Kafka and other systems. Course Length This module includes 45 minutes of video content. 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
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 introduces Cloudera Manager and how to use it to deploy and configure Apache Kafka clusters. Course Length This module includes 1 hour of video content. 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
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 course helps customers use Cloudera Data Platform to address data governance tasks, motivated by the need for compliance to regulations such as GDPR (UK) and HIPAA (US). The course focuses on using Apache Atlas and Ranger, and the Data Catalog service when available. Course Length This course includes approximately 2 hours of video content. Hands-on exercises will take approximately 5 hours. Audience and Prerequisites This course is intended for CDP users who focus on regulatory compliance or other data governance activities. 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
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