IBM Big Data Hadoop

Description :

IBM Open Platform (IOP) with Apache Hadoop is the collaborative platform to enable Big Data solutions to be developed on the common set of Apache Hadoop technologies. You will also have an in-depth introduction to the main components of the ODP core, namely Apache Hadoop (inclusive of HDFS, YARN, and Map Reduce) and Apache Ambari, as well as providing a treatment of the main open source components that are generally made available with the ODP core in a production Hadoop cluster. The participant will be engaged with the product through interactive exercises.

Skills :

Syllabus -

• What is Big Data and Data Analytics
• Overview about HDP
• Introduction to Apache Ambari
• Hadoop and the Hadoop Distributed File System (HDFS)
• Map Reduce and YARN
• Apache Spark
• Overview on Data File Formats, HBase, Pig, Hive, R and Python
• Zookeeper, Slider, and Knox
• Flume and Sqoop
• DataPlane Service
• Stream Computing

Exam Details :

1. Time allowed: 1 hour  
2. Attempts per question:
   • One attempt – For True/False questions
   • Two attempts – For any question other than True/False
3. Clicking the “Final Check” button when it appears means your submission is FINAL.  You will NOT be able to resubmit your answer for that question ever again

IMPORTANT: Do not let the time run out and expect the system to grade you automatically. You must explicitly submit your answers; otherwise they would be marked as incomplete.