Note for BIG DATA - BD By Krishna Sala

Information Privacy, Characteristics, Challenges, Nature of Data, Analytic Process and Tools, Modern Analytic Tools, Sampling and Sampling Distribution, Statistical Inference, Likelibood, Bayesian Interference, Bootstrapping

Stream Computing, Data-Stream Management System, Stream Model, Examples of Stream Source, Sampling Data in a Stream, Counting Distinct Elements in a Stream, Estimating Moments, The Datar-Gionis-Indyic-Motwani Algorithm, Real Time Analytics,Sentiment Analysis Uses, Prediction Methods

Components, Analysis the Data With Hadoop, Java Mappeduce, Data Flow, HDFS, Design of HDFS, Generic Option Parser, Packiging Dependencies, Mapreduce Working, Streaming and Pipes,Failures, Task Execution, Mapreduce Types and Formats, Joins

Cluster Specification,Network Topology, Cluster Setup and Installation, Creating Hadoop User, Hadoop Configuration Files, Configuration Management, Control Scripts, Masternate Scenarios, SSTI Settings, Hadoop Daemon Properties, Hadoop Daemon Addresses and Ports, Security, Keyberos, Benchmarking a Hadoop Cluster, Hadoop in Cloud, HDFS, Safemodes, Logging, Upgrades

Pig, Installing and Running Pig, Execution Types, Running Pig Programs, Filtering data, Grouping and Joining Data, Sorting Data, Querying Data, Introduction of HBase, NOSQL Database, Zookeeper Fundamentals, Deployment, Applications, Understanding Infosphere Biginsights, Introduction to Infosphere Streams, Visual Analytics