Cloudera Apache Hadoop
Cloudera University's three-day Spark course enables participants to build complete, unified Big Data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications for faster business decisions and better user outcomes, applied to a wide variety of use cases, architectures, and industries. This course is part of the developer learning path.
This four-day hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark, Hive, Flume, Sqoop, and Impala, this training course is the best preparation for the real-world challenges faced by Hadoop developers. Participants learn to identify which tool is the right one to use in a given situation, and will gain hands-on experience in developing using those tools.
This four-day training course is for developers who want to learn to program and use Apache Hadoop to build powerful data processing applications.
This four-day hands-on training course is for system administrators and others responsible for managing Apache Hadoop clusters in production or development environments.
Download the full agenda for Cloudera's Administrator Training for Apache Hadoop.
Cloudera's training for Apache HBase is designed for developers and administrators already familiar with Apache Hadoop. Participants should be familiar with Hadoop's architecture and APIs and have experience writing basic applications.
Cloudera's Hadoop Developer course provides all the necessary background required.
Cloudera University’s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Cloudera presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.