Hortonworks Developing Solutions for Apache Hadoop on Windows
Monday, 9 June 2014 at 09:00 - Thursday, 12 June 2014 at 17:00 (BST)
London, United Kingdom
|Course - Developing Solutions for Apache Hadoop on Windows|
Students will learn to develop applications and analyze 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.
.NET Developers and Data Analysts responsible for developing applications and performing analysis on
big data using the Hortonworks Data Platform for Windows.
All necessary equipment and infrastructure required to perform lab exercises are provided.
Unlimited teas, coffees & soft drinks provided.
Cancellation & Reschedule Policy
You must provide a written notice to Big Data Partnership at least 2 weeks' prior to the start of the class if you cannot attend this class. Big Data Partnership will transfer your registration to a future class of equal or lesser value.
Students who fail to cancel within 2 weeks' and/or do not attend the class, will not receive a refund and will be charged the full amount.
Big Data Partnership can cancel or reschedule at any time at our discretion. In the event that the class is cancelled or rescheduled, we will work with you to apply your registration to another date or refund your fee in full. Big Data Partnership is not responsible for non-refundable travel or other expenses incurrred by the student.
If you have any questions concerning this class, please do not hesitate to contact firstname.lastname@example.org.
When & Where
Big Data Partnership
Big Data Partnership is the leading UK-based big data service provider in data science, data engineering and certified training, helping unlock value from complex data, driving exciting results for our customers.
For more information, contact us:
Tel: +44 (0)20 7205 2550