Training

Come early to Hadoop Summit and take one of the associated Hortonworks University training courses.

Apache Hadoop Essentials: A Technical Understanding for Business Users
1-Day Course: Monday, June 2, 2014

Developing Apache Hadoop 2.0 Solutions using Pig and Hive
2-Day Course: Sunday, June 1 – Monday, June 2, 2014

Applying Data Science using Apache Hadoop 2.0
2-Day Course: Sunday, June 1 – Monday, June 2, 2014

Developing Custom YARN ApplicationsNEW CLASS
2-Day Course: Sunday, June 1 – Monday, June 2, 2014

 

Courses

Apache Hadoop Essentials: A Technical Understanding for Business Users
Monday, June 2
8:30 am – 5:00 pm

Location:
Hilton San Jose
300 S Almaden Blvd, San Jose, CA 95113

Description: This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of Hadoop using real world use cases to help provide the understanding of the power of Hadoop. Included in this course are high-level overviews of the Hortonworks Data Platform 2.0. Attendees have the option of installing the Sandbox and following along with the instructor-led demonstrations.

Target Audience: Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators and developers who want to understand the fundamentals of big data and Hadoop architecture.

Perquisites: No prior knowledge of Hadoop is required. No programming experience is required
Students have the option of working through three demonstrations using the Hortonworks Sandbox using their own laptop. Prior download and installation of the Hortonworks Sandbox is required for those students wishing to do the hands-on demonstration. The Hortonworks Sandbox is available at no charge.

 

Developing Apache Hadoop 2.0 Solutions using Pig and Hive
Sunday, June 1 – Monday, June 2, 2014
8:30 am – 5:00 pm

Location:
Marriott San Jose
301 S Market St, San Jose, CA 95113

Description: This 2-day hands-on training course teaches students how to develop applications and analyze Big Data stored in Apache™ Hadoop© 2.0 using Apache Pig™ and Apache Hive™. Students will learn the details of Hadoop 2.0, YARN, the Hadoop Distributed File System (HDFS™), an overview of MapReduce, and a deep dive into using Pig and Hive to perform data analytics on Big Data, including finding trends and detecting patterns.

Target Audience:
Data Analysts, BI Analysts, BI Developers, SAS Developers and other types of analysts who need to answer questions and analyze Big Data stored in a Hadoop cluster.

Prerequisites:Students should be familiar with SQL and have a minimal understanding of programming principles. No prior Hadoop knowledge is required. Students will be expected to bring their own laptops.

 

Applying Data Science using Apache Hadoop
 2.0
Sunday, June 1 – Monday, June 2, 2014
8:30 am – 5:00 pm

Location:
Marriott San Jose
301 S Market St, San Jose, CA 95113

Description: Applying Data Science using Hadoop covers Data Science principles and techniques through lecture and hands-on experience. During this two-day class, students will experience a hands-on learning environment to experience the processes and practice of data analysis with Hadoop and the R statistical language with the outcome of implementing a recommender solution with R and Mahout.

Target Audience: Architects, software developers, analysts and data scientists who need to understand how to apply data science to large datasets with Hadoop.

Prerequisites: Students must have basic computer skills, basic knowledge in statistics and a basic understanding of programming or scripting. Prior experience with Hadoop, Mahout, or R, although helpful, is not required.

 

Developing Custom YARN Applications
Sunday, June 1 – Monday, June 2, 2014
8:30 am – 5:00 pm

Location:
Hilton San Jose
300 S Almaden Blvd, San Jose, CA 95113

Description: This 2-day hands-on training course teaches students how to develop custom YARN applications for the Hortonworks Data Platform. Students will learn the lifecycle of a YARN application and how to write a YARN client and application master using the Java programming language.

Target Audience: Software engineers who want to understand and develop custom YARN applications.

Prerequisites: Students must be experienced Java developers and possess a solid understanding of the Hadoop architecture.