1 compiled by Rocky Jagtiani Tech Head for SCTPL , 9892544177 Section 9 : Case Study # Objectives of this Session The Motivation For Hadoop What problems exist with traditional large-scale computing systems What requirements an alternative approach should have How Hadoop addresses those requirements Hadoop: Basic Concepts What Is Hadoop? The Hadoop Distributed File System (HDFS) How Google MapReduce Algorithm works Anatomy of a Hadoop Cluster Who uses Hadoop ? db.suven.net # Not a part of 1Z0-061 or 1Z0-144 Certification test , but very important technology in BIG DATA Analysis
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1compiled by Rocky Jagtiani Tech Head for SCTPL , 9892544177
Section 9 : Case Study #Objectives of this Session The Motivation For Hadoop
What problems exist with traditional large-scale computing systemsWhat requirements an alternative approach should haveHow Hadoop addresses those requirements
Hadoop: Basic ConceptsWhat Is Hadoop?The Hadoop Distributed File System (HDFS)How Google MapReduce Algorithm worksAnatomy of a Hadoop Cluster
Who uses Hadoop ?
db.suven.net# Not a part of 1Z0-061 or 1Z0-144 Certification test , but very important technology in BIG DATA Analysis
• Hadoop Solutions
– The most common problems Hadoop can solve
– The types of analytics often performed with Hadoop
– Where the data comes from ?
– The benefits of analyzing data with Hadoop
– How some real-world companies use Hadoop
• Hadoop Ecosystem
• Cloudera Software (All Open-Source)
compiled by Rocky Jagtiani Tech Head for SCTPL , 9892544177 2