Cloudera Apache Hadoop

This four-day hands-on training course delivers the key concepts and expertise developers need to develop high-performance parallel applications with Apache Spark 2. Participants will learn how to use spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources. Developers will also practice writing applications that use core Spark to perform ETL processing and iterative algorithms. The course covers how to work with large datasets stored in a distributed file system, and execute Spark applications on a Hadoop cluster. After taking this course, participants will be prepared to face real-world challenges and build applications to execute faster decisions, better decisions, and interactive analysis, applied to a wide variety of use cases, architectures, and industries.

 

With this course update, we streamlined the agenda to help you quickly become productive with the most important technologies, including Spark 2.

Cloudera Apache Hadoop Instructor Led Training

Designing and Building Big Data Apps

Cloudera University's four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub. This course is part of the developer learning path.

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Cloudera Developer Training for Apache Spark

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.

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Developer Training for Spark and Hadoop

This four-day hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a 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.

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Cloudera Essentials for Apache Hadoop

This one-day course gives decision-makers an overview of Apache Hadoop and how it can help them meet business goals.

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Cloudera Developer for Apache Hadoop

This four-day training course is for developers who want to learn to program and use Apache Hadoop to build powerful data processing applications.

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Cloudera Administrator for Apache Hadoop

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. 

See more at: http://university.cloudera.com/instructor-led-training/administrator

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Cloudera Apache HBase

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.  

See more at http://www.cloudera.com/training/courses/apache-hbase-training.html?course=hbase&loc=online

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Cloudera Data Analyst Training using Pig Hive and Impala

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.

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