UNIT 1:
Topic2 - Challenges of Conventional Systems
Topic3 - Intelligent data analysis
T4 - Data - Analytic Processes and Tools
T5 - Modern Data Analytic Tools
T6 - Statistical Concepts: Sampling Distributions - Re-Sampling
T6 - Statistical Concepts: Sampling Distributions - Re-Sampling
T8 - Statistical Inference
UNIT 2:
T1 - History of Hadoop- The Hadoop Distributed File System
T1 - History of Hadoop- The Hadoop Distributed File System
T2 - Components of Hadoop
T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming
T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming
T5 - Developing a Map Reduce Application- How Map Reduce Works
T6 - Anatomy of a Map Reduce Job run- Failures
T6 - Anatomy of a Map Reduce Job run- Failures
T7 - Job Scheduling-Shuffle and Sort – Task execution
T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming
T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming
T3 - Analyzing the Data with Hadoop Scaling Out- Hadoop Streaming
UNIT 3:
T1 - Setting up a Hadoop Cluster
T5 - Administering Hadoop
T6 - HDFS - Monitoring-Maintenance
T6 - HDFS - Monitoring-Maintenance
T1 - Setting up a Hadoop Cluster
T1 - Setting up a Hadoop Cluster
UNIT 4:
T2 - Data processing operators in Pig
T3 - Hive services – HiveQL
T4 -Querying Data in Hive
T3 - Hive services – HiveQL
T3 - Hive services – HiveQL
T4 -Querying Data in Hive
T5 - Fundamentals of HBase and ZooKeeper
T5 - Fundamentals of HBase and ZooKeeper
T6 - Visualizations - Visual data analysis techniques
UNIT 5:
T2 - Functions and packages in R
T1 -Introduction to R: Overview of R
