Cloudera Webinars

Attend a Cloudera webinar to learn more about the Cloudera Platform for Big Data, Cloudera Hadoop Training, and the Cloudera partner solution ecosystem.

Our on-demand webinar archive offers video resources on products, services, Hadoop training, and partner solutions to answer questions you have about taking advantage of Big Data with Cloudera.

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Upcoming Webinars


Govern This!
Data Discovery and the Application of Data Governance with New Stack Technologies

Join Tableau and Cloudera to learn how to apply governance to the discovery layer in an enterprise data hub while still meeting the speed and agility requirements of the business user. Learn More.

Date: Wednesday, May 1, 2014, 10AM PT / 1PM ET

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SAS and Cloudera – Analytics at Scale

Learn about SAS and Cloudera technical integration, how SAS builds on the enterprise data hub, and SAS In-Memory Statistics for Hadoop, machine learning capabilities. Learn More.

Date: Wednesday, May 7, 2014, 10AM PT / 1PM ET

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Large Scale Machine Learning with Apache Spark

Spark offers a number of advantages over its predecessor MapReduce that make it ideal for large-scale machine learning. For example, Spark includes MLLib, a library of machine learning algorithms for large data. The presentation will cover the state of MLLib and the details of some of the scalable algorithms it includes. Learn More.

Date: Wednesday, May 21, 2014, 10AM PT / 1PM ET

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Best Practices for the Hadoop Data Warehouse
EDW 101 for Hadoop Professionals

In a point-counterpoint format, Dr. Kimball will describe standard data warehouse best practices including the identification of dimensions and facts, managing primary keys, and handling slowly changing dimensions (SCDs) and conformed dimensions. Eli Collins, Chief Technologist at Cloudera, will describe how each of these practices actually can be implemented in Hadoop. Learn More.

Date: Thursday, May 29, 2014, 10AM PT / 1PM ET

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Featured Webinars


Building a Hadoop Data Warehouse
Hadoop 101 for Enterprise Data Warehouse Professionals

Dr. Ralph Kimball and Cloudera's Matt Brandwein present Building a Hadoop Data Warehouse. Learn how Hadoop can be both a destination data warehouse, and also an efficient staging and ETL source for an existing data warehouse. Also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses. Learn More.

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Design Patterns for Large-Scale Real-Time Learning

Building a production-ready large-scale operational analytics system remains a difficult and ad-hoc endeavor, especially when real-time answers are required. Design patterns for effective implementations are emerging, which take advantage of relaxed assumptions, adopt a new tiered "lambda" architecture, and pick the right scale-friendly algorithms to succeed. Drawing on experience from customer problems, this session presents a reference architecture and algorithm design choices for a successful implementation. Learn More.

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Introduction to YARN and MapReduce 2

As part of the recent release of Hadoop 2 by the Apache Software Foundation, YARN and MapReduce 2 deliver significant upgrades to scheduling, resource management, and execution in Hadoop. Learn More.

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Syncsort, Tableau, & Cloudera present:
Break the Barriers to Big Data Insight

Join us to rethink data management and learn how to break down barriers to Big Data insight with Cloudera's enterprise data hub (EDH), Syncsort offload solutions, and Tableau Software visualization and analytics. Learn More.

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On-Demand Webinars

Enterprise Data Hub: The Next Big Thing in Big Data

– Date: November 12, 2013
This year's Strata + Hadoop World was packed with Big Data practitioners across industries who shared their experiences and how they are driving new innovations like never before. Just because you weren't there, doesn't mean you missed out.

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.

Platforms and Analytics to Address the Big Data Challenge

– Date: November 21, 2013
WatersTechnology gathered leading industry experts for a webcast on November 21, 2013 to discuss how financial trading firms are not only dealing with mounting data volumes, greater data varieties, and increased data velocity, but how they are deriving value from it.