Hortonworks University
Certified Training Partner
Apache Hadoop 2.0 Training Courses
Operations Management with the
Hortonworks Data Platform
Course Duration: 4 Days
This four-day Apache Hadoop 2.0 training course is designed for administrators who deploy and manage Apache Hadoop 2.0 clusters. Through a combination of lecture and hands-on exercises you will learn how to install, configure, maintain and scale your Hadoop 2.0 environment. At the end of this course you will have a solid understanding of how Hadoop works with Big Data and through the hands-on exercises will have completed the Hadoop deployment lifecycle for a multi-node cluster.
Prerequisites
This course utilises a Linux environment. Attendees should know how to navigate and modify files within a Linux environment. Existing knowledge of Hadoop is not required.
Target Audience
This course is designed for IT administrators and operators responsible for installing, configuring and supporting an Apache Hadoop 2.0 deployment in a Linux environment.
Data Analysis with the Hortonworks Data Platform
using Pig and Hive
Course Duration: 4 Days
This 4-day hands-on training course teaches students how to develop applications and analyse Big Data stored in Apache Hadoop 2.0 using Pig and 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. Other topics covered include data ingestion using Sqoop and Flume, and defining workflow using Oozie.
Prerequisites
Students should be familiar with programming principles and have experience in software development. SQL knowledge is also helpful. No prior Hadoop knowledge is required.
Target Audience
Data Analysts, BI Analysts, BI Developers, SAS Developers and other types of analysts who need to answer questions and analyse Big Data stored in a Hadoop cluster.
Developing Applications with the
Hortonworks Data Platform using Java
Course Duration: 4 Days
This advanced four-day course provides Java programmers a deep-dive into Hadoop 2.0 application development. Students will learn how to design and develop efficient and effective MapReduce applications for Hadoop 2.0 using the Hortonworks Data Platform. Students who attend this course will learn how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on their Big Data.
Prerequisites
This course assumes students have experience developing Java applications and using a Java IDE. Labs are completed using the Eclipse IDE and Maven. No prior Hadoop knowledge is required.
Target Audience
Experienced Java software engineers who need to understand and develop Java MapReduce applications for Hadoop 2.0.
Developing Solutions for
Apache Hadoop on Windows
Course Duration: 4 Days
Students will learn to develop applications and analyse big data stored in Apache Hadoop running on Microsoft Windows. Students will learn the details of the Hadoop Distributed File System (HDFS™) architecture and MapReduce framework, as well as learn how to develop applications on Hadoop® using tools like C#, Pig™, Hive™, HCatalog, Sqoop, Oozie and Microsoft Excel.
Prerequisites
Students should have programming experience, preferably with Visual Studio and SQL, as well as familiarity with the Windows Server operating system. No prior Hadoop knowledge is required.
Target Audience
.NET Developers and Data Analysts responsible for developing applications and performing analysis on big data using the Hortonworks Data Platform for Windows.
Developing YARN Applications for
Hortonworks Data Platform
Course Duration: 2 Days
This 2-day hands-on training course introduces students to the development of custom YARN applications for Apache Hadoop. The course covers details of the YARN architecture, steps involved in writing a YARN application, writing a YARN client and ApplicationMaster, and how to launch Containers.
Prerequisites
Student should be experienced Java developers who possess Hadoop development knowledge plus an understanding of HDFS and the MapReduce framework.
Target Audience
Hadoop Developers who need to develop YARN applications on Hadoop 2.x by writing custom YARN clients and ApplicationMasters in Java.
Applying Data Science using
Apache Hadoop
Course Duration: 3 Days
This 3-day, hands-on training course introduces the fundamentals of Data Science and how to apply these concepts in Hadoop using machine learning, Mahout, Pig, Python and various machine learning libraries like SciPy and Scikit-Learn.
Prerequisites
Students must have:
• Experience with at least one programming or scripting language
• Knowledge of statistics and/or mathematics
• A basic understanding of big data and Hadoop principles.
Target Audience
Architects, software developers, analysts and data scientists who need to understand how to apply data science and machine learning on Hadoop will get the most from this course.
Apache Hadoop Essentials 2.0
Course Duration: 1 Day
This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of what is Big Data, Hadoop 2.0, the architecture and various technologies in the Hadoop ecosystem, and the business value that Hadoop provides.
Prerequisites
No prior Hadoop knowledge is required. No programming experience is required. Students have the option of following along with three hands-on demonstrations using the Hortonworks Sandbox.
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 2.0 architecture.
On-site Training
In addition to the publicly-listed training events, we also provide private training on-site. If you’d like to arrange an on-site training session, please contact us.
Contact UsAt course completion, all students will have the necessary skills and information required to take the Hortonworks Apache Hadoop Certified Administrator, Certified Java Developer or Certified Developer exams which are administered via Kryterion.
Thank you very much for a very interesting and very well-conducted training. After some other vendors’ training, it was a nice change, as regards both content and quality of the teacher from Big Data Partnership.
Please contact us for any questions on Hortonworks University courses or
if would like to discuss a custom, on-site training course.
training@bigdatapartnership.com
+44 (0)20 7205 2550
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