Cloudera Educational Services

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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 an overview of Cloudera DataFlow. For more, 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.  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 provides the fundamental concepts and experience necessary to automate the ingest, flow, transformation, and egress of data using Apache NiFi. Along with gaining a grasp of the key features, concepts, and benefits of NiFi, participants will create and run NiFi dataflows for a variety of scenarios. Students will gain expertise using processors, connections, and process groups, and will use NiFi Expression Language to control the flow of data from various sources to multiple destinations. Participants will monitor dataflows, examine progress of data through a dataflow, and connect dataflows to external systems such as Kafka and HDFS. After taking this course, participants will have key knowledge and expertise for configuring and managing data ingestion, movement, and transformation scenarios for the enterprise. Course Length This module includes 4 hours of video content. Hands-on exercises will take approximately 9 hours. Audience and Prerequisites This course is designed for Developers, Data Engineers, Data Scientists, and Data Stewards. It provides a no-code, graphical approach to configuring real-time data streaming, ingestion, and management solutions for a variety of use cases. Though programming experience is not required, 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

During this course, you'll learn the key concepts behind the Cloudera Data Platform (CDP), Cloudera's next-generation platform and the world's first implementation of the Enterprise Data Cloud. You'll learn how CDP originated, how it enables both business teams and IT staff to be more productive, and understand its capabilities for turning data into actionable insight. Additionally, this course showcases an edge-to-AI use case, including stories from two customers who have successfully implemented it using Cloudera's technologies. Course Topics Through video lectures, interviews, demonstrations, and customer stories, participants will explore the Enterprise Data Cloud and Cloudera Data Platform, learning topics such as: Which characteristics define the Enterprise Data Cloud What the Cloudera Data Platform is and what capabilities it provides How the Cloudera Data Platform supports both on-premises and cloud-based deployments Audience and Prerequisites This course is ideal for anyone who wants to understand the concept of the Enterprise Data Cloud and learn how the Cloudera Data Platform (CDP) builds on this concept to deliver a consistent experience from the data center to the cloud. The course is designed for a business-oriented audience, including such roles as CTOs, CIOs, IT management, and system architects. Although it doesn't require any technical expertise from participants, it will also appeal to administrators, data engineers, data scientists, data analysts, data stewards, and those in similar roles who want to understand the Cloudera Data Platform. 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 Course This course introduces Cloudera Machine Learning and prepares learners to use it for data science and machine learning workflows with the Python or R language. Course Length This course includes 4.25 hours of video content. Exercises require access to your own CDP environment. Audience This course is intended for Python and R users at organizations running CML under a trial license or commercial license. Requirements To complete the hands-on exercises for this course, the learner must have access to a CML workspace on a CDP environment. 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 The Cloudera Operational Database Fundamentals course provides an overview of what an operational database (OpDb) is, the motivation and use cases behind using an OpDb in the enterprise, and how an OpDb fits within the data lifecycle. The course describes the operational database capabilities available in the various form factors, including CDP Private Cloud and CDP Public Cloud, and how to work with an OpDb from the shell, a SQL client, and programmatically in code. Course Length This module includes 1.5 hours of video content. There are no hands-on exercises. Audience and Prerequisites This course is designed for managers, administrators, and developers. We highly recommend that participants be familiar with CDH, HDP, CDP Private Cloud, or CDP Public Cloud to be able to set up an operational database. The CDP Public Cloud Administration and CDP Private Cloud Fundamentals trainings are good starting points to prepare for this training.  Additionally, knowledge of Python is required for using Thrift and knowledge of Java for working with the HBase API. Basic Linux knowledge is required which includes the ability to SSH into a node and starting up a CLI. Knowledge of Apache HBase and Apache Phoenix is not 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

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