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Business Intelligence using machine learning Big Data R & Tableau


Join With Our Courses To Develop Yourself.


Courses Overview

This Big Data program includes both the process of learning the techniques involved in data engineering, Big Data Analytics and Big Data storage, processing and management - both structured and unorganized data,as well as the data analytics layer on top of Big Data systems, using both more traditional predictive models by connecting an analytics tool like R and Tableau to Big Data Systems, as well as advanced Machine Learning algorithms on Big Data using Spark.


Introduction to Big Data and Hadoop

•          Introduction to Big data

•          Hadoop and HDFS


Data Pre and Post Processing for Integration

•          MapReduce

•          Map Reduce Advanced

•          Pig

•          Hive

•          Programming in Hive


Data Ingestion Processes

•          Data Extraction Tool

•          Cloudera Distributions HUE & Impala


NoSQL Databases and Work flow Automation

•          HBASE and Oozie

•          NOSQL


R programming language

•          Introduction to Analytics & Analytics Methodology

•          Data Analysis & Preprocessing with R programming


Analytics and Visualization with R and Tableau

•          Integrating R and Hadoop

•          Exploratory Data Analysis

•          Big Data Visualization

•          Text analytics and social media case studies


Machine Learning with Spark

Introduction to Machine Learning

• Regression algorithms

• Classifier: Bayesian and KNN

• Tree based algorithms

• SVM and performance improvements

• Introduction to Spark

• Spark internal

• Set Up and Get Started

• Spark architecture

• Spark components

• Spark R

• Spark Mllib

• Spark Case Studies


Advanced NoSQL databases and handling streaming data

• Introduction to the cassandra

• The architecture of Casandra

• Establishment and configuration of Casandra

• Copy bulk data and batch statement

• Interface for Apache cassandra

• Advanced architecture

• Indexing and Aggregation

• Replication and shading

• Cluster Administration

• Introduction to large data and real-time large data processing

• Introduction to STORM

• Storm installation and configuration

• Storm Advanced Concepts

• Hurricane Interface

• Storm Trident


  • Duration: 120 HRS
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