Cloudera Educational Services

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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. Read more

About This Module During this series, Mark Payne, a Principal Software Engineer at Cloudera and co-creator of Apache NiFi, will explain several common ways that people use NiFi incorrectly or inefficiently. After explaining the weaknesses of each approach, Mark then shows how to improve those flows to make better use of NiFi's design and architecture.   Part 1: Flows Overview examines a flow that splits and rejoins data, treats structured/semi-structured data as unstructured text, and blurs the line between FlowFile content and attributes. Part 2: Flow Layout illustrates how a disorganized dataflow can make it difficult to understand and maintain. Mark shares tips for laying out the dataflow to make it clean, simple, and easy for others to follow. Part 3: Load Balancing explains how to make your dataflows more scalable by balancing the load across a cluster of nodes. Mark also references his Cloudera technical blog post that shows how NiFi can process more than one billion events per second. Part 4: Scheduling covers scheduling and concurrency anti-patterns. Mark discusses common problems related to thread pools, scheduling processors, and how to configure settings for best performance. Part 5: Primary Node Only looks at the primary node and how it is sometimes misused. Please note: This course does not award a course completion certificate. Module Length This course includes 1 hour of video content.   Read more

About This Module This module introduces the Cloudera Machine Learning (CML) experience on CDP. Module Length This module includes one hour of video content. Audience and Prerequisites This course is ideal for anyone who wants to understand the capabilities of the Cloudera Machine Learning experience and how to navigate in the CML workbench interface. A Note about This Free Course This course is a free introduction to CML.  The regular (paid) version of this course is Cloudera Machine Learning Training. The course begins with these same five chapters, but it continues to provide much more in-depth training, using either Python or R. If you're interested in learning more, please take a look at that course in our store! (Note that the regular course is available only through the Full OnDemand Library subscription.) Read more

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