Cloudera Webinars

Are you new to Hadoop? Want to learn MapReduce? Deploy and scale a cluster? Analyze Big Data with SQL? Get certified? What about data science?

Watch a webinar in our on-demand training archive to prepare for the next stage of your career in Big Data.


Training Webinars


Introduction to Hadoop Developer Training

Check out a portion of Cloudera's full Hadoop Developer Training, discussing the difference between New and Old APIs, why there are different APIs, and which you should use when writing your MapReduce code.

Introduction to Hadoop Administrator Training

– Date: August 29, 2013
Get an overview of HDFS High Availability and best practice settings for some of Hadoop's more advanced configuration options.

Introduction to Data Analyst Training

– Date: July 18, 2013
Learn the fundamentals of Cloudera Impala, Apache Hive, and Apache Pig, how they relate to each other, and for which jobs each is used.

Introduction to Apache Spark Training

Learn what Apache Spark is and how it compares to Hadoop MapReduce, how to filter, map, reduce, and save Resilient Distributed Datasets (RDDs), who is best suited to attend the course and what prior knowledge you should have, and the benefits of building Spark applications as part of an enterprise data hub.

Introduction to Apache HBase Training

– Date: September 24, 2013
Develop your HBase use case, design optimal schemas, and identify, avoid, and resolve performance bottlenecks.

Training a New Generation of Data Scientists

– Date: March 27, 2013
Learn what data scientists do, how they think about problems, and the relationship between data science and Hadoop.

Introduction to Designing and Building Big Data Applications

Learn what the course covers, from capturing data to building a search interface; the spectrum of processing engines, More

Apache projects, and ecosystem tools available for converged analytics; who is best suited to attend the course and what prior knowledge you should have; and the benefits of building applications with an enterprise data hub.