{"product_id":"9789389420883-3","title":"Big Data Analytics (Engineering Reference Books)","description":"\u003cp\u003eUnit 1 Introduction to Big Data  Evolution of Βί!J data - Best Practices for Βί!J data Analytics - Βί!J data characteristics -Validatin!J - The Promotion of the Value of Bi!J Data - Bi!J Data Use Cases- Characteristics of Bi!J Data Applications - Perception and Quantification of Value -Understandin!J Βί!J Data Stora!Je - Α General Overview of HiSJh-Performance Architecture - HDFS - MapReduce and YARN - Map Reduce Pro!Jrammin!J Model. (Chapter - ι)  Unit 11 Clustering and Classification  Advanced Analytical Theory and Methods, Overview of Clusterin!J - K-means - Use Cases - Overview of the Method - Determinin!J the Number of Clusters - Dia!Jnostics - Reasons to Choose and Cautions .- Classification: Decision Trees - Overview of a Decision Tree - The General Al!Jorithm - Decision Tree Al!Jorithms - Evaluatin!J a Decision Tree - Decision Trees ίη R - Naϊve Bayes - Bayes' Theorem - Naϊve Bayes Classifier. (Chapter - 2)  Unit 111 Association and Recommendation System  Advanced Analytical Theory and Methods, Association Rules - Overview - Apriori Al!Jorithm - Evaluation of Candidate Rules - Applications of Association Rules - Findin!J Association \u0026amp; findin!J similarity - Recommendation System: Collaborative Recommendation- Content Based Recommendation - Knowled!Je Based Recommendation- Hybrid Recommendation Approaches. (Chapter - 3)  Unit IV Stream Memory  Introduction to Streams Concepts - Stream Data Model and Architecture - Stream Computin!J. Samplin!J Data ίη a Stream - Filterin!J Streams - Countin!J Distinct Elements ίη a Stream - Estimatin!J moments . Countin!J oneness ίη a Window - Decayin!J Window - Real time Analytics Platform (RTAP) applications - Case Studies - Real Time Sentiment Analysis. Stock Market Predictions - Usin!J Graph Analytics for Βί!J Data : Graph Analytics. (Chapter - 4)  Unit V NoSQL Data Management for Big Data and Visualization  NoSQL Databases : Schema-Iess Models : Increasin!J Flexibility for Data Manipulation-KeyValue Stores- Document Stores - Tabular Stores - Object Data Stores - Graph Databases Hive - Shardin!J - Hbase - Analyzin!J bi!J data with twitter - Bi!J data for E-Commerce Βί!J data for blo!Js -Review of Basic Data Analytic Methods usin!J R. (Chapter - s)\u003c\/p\u003e","brand":"Technical Publications","offers":[{"title":"Default Title","offer_id":46447214297259,"sku":"11698448987","price":275.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0620\/3355\/9723\/files\/9789389420883_3_1a8def05-b641-4554-8417-2aacc131db60.jpg?v=1776093392","url":"https:\/\/technicalpublications.in\/products\/9789389420883-3","provider":"Technical Publications","version":"1.0","type":"link"}