Name: Note for BIG DATA - BD By Krishna Sala
Rating: 3.9 (29 reviews)
Author: 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

Big Data

Sampling And Sampling Distributions

Hypothesis Testing

Likelihood Detection

Bayesian Interference

Cross Validation

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

Streams

Customer Relationship Management

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

Note for BIG DATA - BD By Krishna Sala

BD

· 2017