Courses and Events
Introduction to Hadoop - London - 2-Day Training Course
26/06/2017 - 27/06/2017
CAP House, 1st Floor, 9-12 Long Lane, London, EC1A 9HA
View in Goolge Maps (EC1A 9HA)
1. Course description.
This two-day training course explores major characteristics and functionalities of Apache Hadoop platform and its ecosystem of tools for Big Data processing and analysis. The course provides a first-hand practical experience in Hadoop Distributed File System (HDFS) and MapReduce frameworks by the means of a number of presentations and tutorials during which the attendees will learn how to design and perform simple MapReduce programs to process the data and calculate a set of statistics. The course can also serve as a gentle introduction to the basics of Java programming language and essential Hadoop File System shell commands. During the course you will learn to:
During the course the attendees will perform several simple MapReduce jobs on a Linux-based Mind Project Hadoop cluster.
The course will run for two days from 9:30am until ~5:00pm and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, economics and business fields, however the contents may vary depending on specific interests of participants (based on the Participant's Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break during each day.
3. What is included?
Apart from the contents of the course, Mind Project will provide the participants with the following:
4. Further instructions.
Should you have any questions please contact Mind Project Ltd at firstname.lastname@example.org or by phone on 0203 322 3786. Please visit the course website at https://www.mindproject.io/product/introduction-to-hadoop-london-june-2017/.
Simon Walkowiak MBPsS
Mind Project Ltd
Entry (no or almost no prior knowledge)
£450 per person for the whole course (regular fee). £300 per person for the whole course for UK registered undergraduate and postgraduate students, and representatives of registered charitable organisations (discounted fee). For group bookings of 4 and more participants, please contact us directly.
Website and registration
Simon Walkowiak MBPsS
Big Data , HDFS , distributed file system , Hive , HBase , Cassandra , Java language , distributed computing , cloud computing , parallel computing , Hadoop , Spark , MapReduce
Related publications and presentations