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.

Partner     |    Product     |    Training


Upcoming Webinars

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Getting Started with Impala - Interactive SQL for Apache Hadoop

Thursday, December 4, 2014 @ 10:00am Pacific Time

O'Reilly's John Russell leads this webcast and will cover using SQL with Impala, considerations for distributed queries on Hadoop, data ingestion, transformation and manipulation, performance tips, and latest news - new features not covered in the O'Reilly book of the same name 'Getting Started with Impala'


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Architect To Succeed With Cloudera and Intel

Thursday, December 11, 2014 @ 7:00am Pacific

Join noted enterprise CTO and publisher of CTOvision Bob Gourley and Cloudera’s Senior Director of Technology Solutions Webster Mudge in an examination of an architectural exemplar and repeatable design patterns you can use to enhance your use of data.


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Featured Webinars

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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.


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The Future of Hadoop: A deeper look at Apache Spark

During this webinar, Jai Ranganathan, Senior Director of Product Management, will discuss why Spark has experienced such wide adoption and provide a technical deep dive into the architecture. Additionally, he will present some use cases in production today. Finally, he’ll share our vision for the Hadoop ecosystem and why we believe Spark is the successor to MapReduce for Hadoop data processing.


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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.

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Better Together: The New Data Management Orchestra
Teradata, MongoDB, & Cloudera

Executives at Cloudera, Teradata and MongoDB explain how to deploy the right mix of tools and technology to become a data-driven organization, share examples of three major data management systems working together, and provide real world examples of how business and IT are benefiting from the sum of the parts


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Innovation Without Compromise
The Challenges of Securing Big Data

Join IDC analysts, Carl Olofson and Mike Versace, as they discuss the changing world of big data security with Eddie Garcia, Information Security Architect at Cloudera, and Anil Earla, Chief Data and Analytics Officer of IS at Visa.


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The Value of Pervasive Analytics

Join Cloudera and Forrester to learn what we mean by pervasive analytics, how it impacts your organization, and how to get started, how leading organizations are using pervasive analytics for competitive advantage, and how Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster.


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Impala 2.0
The Best Analytic Database for Hadoop

During this webinar, Justin Erickson, Director of Product Management, will look at why SQL access in Hadoop is critical and the benefits of a native Hadoop analytic database. Additionally, he will discuss what’s new with Impala 2.0 and some of the recent performance benchmarks. Finally, he will share some common Impala use cases and production customer stories, and provide insight into what’s next for Impala.


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Cloudera Director
Unlock the Full Potential of Hadoop in the Cloud

During this webinar we will look at why Hadoop cloud environments are becoming so popular and some of the challenges around Hadoop in the cloud. We will then provide an in-depth overview of Cloudera Director, its key features, and how it alleviates these common challenges. Finally, we will discuss some key use cases and provide insight into what’s next for Cloudera and Hadoop in the cloud.


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Tech Lab Series: From Zero to Enterprise Data Hub
Part I: Locked and Loaded

In this first part of a three-part series, he shows how Cloudera can be used to load, process and normalize real-world disparate data, preparing it for use in both operational and analytical environments.


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Empowering Customers with Personalized Insights
The Opower Story

Opower’s Data Architect, Scott Kuehn, will discuss how they implemented a scalable energy analysis platform that generates personalized insights for millions of people. To date, Opower’s insights have collectively saved over 5 terawatt hours of energy and $500 million in energy bills.


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Compliance Ready Hadoop
Part I: Comprehensive Security for the Enterprise

Join us to learn how security in Hadoop is quickly changing, and what the key requirements are for taking Hadoop to the next level in your organization.


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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 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.

Intel and Cloudera: Accelerating Enterprise Big Data Success

Learn how Cloudera and Intel are jointly innovating through open source software to enable Hadoop to run best on IA (Intel Architecture) and to foster the evolution of a vibrant Big Data ecosystem.