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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 Course Cloudera University’s Search training course is for developers and data engineers who want to index data in Hadoop for more powerful real-time queries. Participants will learn to get more value from their data by integrating Cloudera Search with external applications. Course Length This course includes 6 hours of video instruction. Hands-on exercises may take 5 to 10 hours; there is an additional (optional) 5 hours of exercise review videos. Audience and Prerequisites This course is intended for developers and data engineers with at least basic familiarity with Hadoop and experience programming in a general-purpose language such as Java, C, C++, Perl, or Python. Participants should be comfortable with the Linux command line and should be able to perform basic tasks such as creating and removing directories, viewing and changing file permissions, executing scripts, and examining file output. No prior experience with Apache Solr or Cloudera Search is required, nor is any experience with HBase or SQL. 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 Course Cloudera University’s training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Apache HBase is a distributed, scalable, NoSQL database built on Apache Hadoop. HBase can store data in massive tables consisting of billions of rows and millions of columns, serve data to many users and applications in real time, and provide fast, random read/write access to users and applications. Course Length This course includes 6.5 hours of video content. Hands-on exercises may take approximately 9 hours. Audience and Prerequisites This course is appropriate for developers and administrators who intend to use HBase. Prior experience with databases and data modeling is helpful, but not required. Knowledge of Java is assumed. Prior knowledge of Hadoop is not required, but Cloudera Developer for Apache Spark and Hadoop provides an excellent foundation for this course. 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 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

About This Course DataGen by Francois Risch. In this course, we will give a walkthrough of installation and how to use the DataGen, a tool that generates data on all services provided by Cloudera (HDFS, Hive, HBase, Ozone, Kafka, Kudu, SolR, Local files), in any format (CSV, JSON, Avro, Parquet, ORC). Course Length This course includes 1 hour of video content. Audience and Prerequisites This OnDemand course is suitable for administrators that need to generate data.       Read More

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