First two modules are free (Best Quality is Promise, watch it right now) <br />Module 1 : Introduction to BigData, Hadoop (HDFS and MapReduce) : Available (Length 35 Minutes) <br />1. BigData Inroduction <br />2. Hadoop Introduction <br />3. HDFS Introduction <br />4. MapReduce Introduction <br /> <br />Video URL : http://www.youtube.com/watch?v=R-qjyEn3bjs <br /> <br />Module 2 : Deep Dive in HDFS : Available (Length 48 Minutes) <br /> <br /> <br />1. HDFS Design <br />2. Fundamental of HDFS (Blocks, NameNode, DataNode, Secondary Name Node) <br />3. Rack Awareness <br />4. Read/Write from HDFS <br />5. HDFS Federation and High Availability <br />6. Parallel Copying using DistCp <br />7. HDFS Command Line Interface <br />Video URL : http://www.youtube.com/watch?v=PK6Im7tBWow <br /> <br />Module 3 : Understanding MapReduce : Available (Length 60 Minutes) <br />1. JobTracker and TaskTracker <br />2. Topology Hadoop cluster <br />3. Example of MapReduce <br />Map Function <br />Reduce Function <br />4. Java Implementation of MapReduce <br />5. DataFlow of MapReduce <br />6. Use of Combiner <br /> <br /> Video URL : Watch Private Video <br /> <br />Module 4 : MapReduce Internals -1 (In Detail) : Available (Length 57 Minutes) <br /> <br />1. How MapReduce Works <br />2. Anatomy of MapReduce Job (MR-1) <br />3. Submission & Initialization of MapReduce Job (What Happen ?) <br />4. Assigning & Execution of Tasks <br />5. Monitoring & Progress of MapReduce Job <br />6. Completion of Job <br />7. Handling of MapReduce Job <br />- Task Failure <br />- TaskTracker Failure <br />- JobTracker Failure <br /> <br />Video URL : Watch Private Video <br /> <br />Module 5 : MapReduce-2 (YARN : Yet Another Resource Negotiator) : Available (Length 52 Minutes) <br /> <br /> <br />1. Limitation of Current Architecture (Classic) <br />2. What are the Requirement ? <br />3. YARN Architecture <br />4. JobSubmission and Job Initialization <br />5. Task Assignment and Task Execution <br />6. Progress and Monitoring of the Job <br />7. Failure Handling in YARN <br />- Task Failure <br />- Application Master Failure <br />- Node Manager Failure <br />- Resource Manager Failure <br /> <br />Video URL : Watch Private Video <br /> <br />Module 6 : Advanced Topic for MapReduce (Performance and Optimization) : Available (Length 58 Minutes) <br /> <br />1. Job Sceduling <br />2. In Depth Shuffle and Sorting <br />3. Speculative Execution <br />4. Output Committers <br />5. JVM Reuse in MR1 <br />6. Configuration and Performance Tuning <br /> <br />Video URL : Watch Private Video <br /> <br />Module 7 : Advanced MapReduce Algorithm : Available (Length 87 Minutes) <br /> <br />Module 8 : Advanced MapReduce Algorithm -2 : Available : Private (Length 67 Minutes) <br /> <br />Module 9 : Features of MapReduce : Available : Private (Length 61 Minutes) <br /> <br /> <br />Module 10: MapReduce DataTypes and Formats : Available : Private (Length 77 Minutes) <br /> <br />Video URL : Watch Private Video <br /> <br />Module 11 : Apache Pig : Available (Length 52 Minutes) <br /> <br />Video URL : Watch Private Video <br /> <br />Module 12 : Fundamental of Apache Hive Part-1 : Available (Length 60 Minutes) <br /> <br />Module 13 : Apache Hive : Available (Length 73 Minutes ) <br /> <br />Module 14 : Hands On : Single Node Hadoop Cluster Set Up In Amazon Cloud : Available (Length 60 Minutes Hands On Practice Session) <br /> <br />Module 15 : Hands On : Implementation of NGram algorithm : Available (Length 48 Minutes Hands On Practice Session)
