Lecture 6 of 34Week 2
Hadoop MapReduce 2.0 (Part-I)
Prof. Rajiv Misra · IIT Patna
Credits and licence
- From
- Big Data Computing, IIT Patna (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Kanpur.
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All the lectures
- Introduction to Big Data
- Big Data Enabling Technologies
- Hadoop Stack for Big Data
- Hadoop Distributed File System (HDFS)
- Hadoop MapReduce 1.0
- Hadoop MapReduce 2.0 (Part-I)
- Hadoop MapReduce 2.0 (Part-II)
- MapReduce Examples
- Parallel Programming with Spark
- Introduction to Spark
- Spark Built-in Libraries
- Design of Key-Value Stores
- Data Placement Strategies
- CAP Theorem
- Consistency Solutions
- CQL (Cassandra Query Language)
- Design of Zookeeper
- Design of HBase
- Spark Streaming and Sliding Window Analytics (Part-I)
- Spark Streaming and Sliding Window Analytics (Part-II)
- Sliding Window Analytics
- Introduction to Kafka
- Big Data Machine Learning (Part-I)
- Big Data Machine Learning (Part-II)
- Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics
- Parallel K-means using Map Reduce on Big Data Cluster Analysis
- Decision Trees for Big Data Analytics
- Big Data Predictive Analytics (Part-I)
- Big Data Predictive Analytics (Part-II)
- Parameter Servers
- PageRank Algorithm in Big Data
- Spark GraphX & Graph Analytics (Part-I)
- Spark GraphX & Graph Analytics (Part-II)
- Case Study: Flight Data Analysis using Spark GraphX