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BIGDATA Training

Big Data will help to create new career growth opportunities for job seekers and growth for entirely new categories of companies, such as those that aggregate and analyses industry data. Many of these will be companies that sit in the middle of large information flows where data about products and services, buyers and suppliers, consumer preferences and intent can be captured and analyzed. Forward-thinking leaders across sectors should begin aggressively to build their organizations’ Big Data capabilities.

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BigData courses inculde: R, Hadoop, Pig, Hive, Hbase, Sqoop, Storm, Spark, MongoDB, Casandra, Sqoop, Mahout

Data Researcher.

 

Learn how to analyze data to gain insights, develop new strategies, and cultivate actionable business intelligence 

 

Key concepts:

 

BIG DATA Foundation

  • Database – overview  , Oracle PL/SQL   [OCP]

  • Data warehouse, ETL [Extract Transform Load]

  • Data Warehouse vs BIG DATA

  • BIG DATA – Use cases, Hadoop 1.x vs 2.x overview

  • OLAP vs OLTP

 

Managerial decisions based on data

  • Statistic Overview

  • Probably distribution – Monte Carlo

  • Empirical Model  Preparation

  • Forecasting, and Projection Algorithm [R, Excel]

  • Classification, Clustering, Regression Algorithm

  • Descriptive and Visual Data Analysis [Neo4J]

  • Data Simulation

  • Data Reports for C-executives

  • Machine Learning [Mahout, R]

 

BIG DATA  Technology Overview

  • Hadoop , Map Reduce , R,  Mahout,  Hive, PIG, MongoDB, Sqoop, Hbase, Storm, Spark,  Neo4J, Oozie [Work Flow], Zookeeper

 

  • Theory topics are complimented by hands on LAB

  • Project Work:  Real Industrial problem solution in a classroom setting

 

 

 

Duration: 100 hours

 

 

 

 

BIGDATA Adminstration

 

Learn how to install, configure, secure and administor Hadoop clusters and No-SQL databases.

 

Key concepts:

 

BIG DATA Foundation

  • Database – overview  , Oracle PL/SQL   [OCP]

  • Data warehouse, ETL

  • Data Warehouse vs BIG DATA

  • BIG DATA – Use cases

 

BIG DATA Administration

  • Linux Installation, Configuration, and Administration

  • Hadoop cluster Installation, Configuration and Administration

  • Performance Tuning,  Disaster Recovery ,  Security

  • Infrastructure Architecture, and Deployment  Topology

  • Product Installation: Ambari, Spark, Casandra, MongoDB, Neo4J, PIG, HIVE , Oozie , Zookeeper

  • BIG DATA  Programming - Introduction

  • Java, Python, R and Shell Scripting

  • Hive, PIG, MongoDB, Sqoop, Hbase, Storm, Spark

 

Managerial decisions based on data - Introduction

  • Statistics overview

  • Descriptive and Visual data analysis

  • Data Analysis using Excel , R and Mahout

  • Linear Regression , Clustering, Classification

 

  • Theory topics are complimented by hands on LAB

  • Project Work:  Real Industrial problem solution in a classroom setting

 

 

Duration: 100 hours

 

 

 

 

            For more info contact ITEXPS

BIGDATA Programming.

 

Learn how to implement ETL and machine learning algorithms using BIGDATA technologies

 

Key concepts:

 

BIG DATA Foundation

  • Database – overview  , Oracle PL/SQL   [OCP]

  • Data warehouse, ETL

  • Data Warehouse vs BIG DATA

  • BIG DATA – Use cases,   OLAP vs OLTP

 

BIG DATA Programming

  • Linux Shell Scripting

  • R , Java/Python Programming

  • Hadoop Map Reduce, Sqoop – data import and export

  • Programing with: PIG, Hive  Data Flow Language,  MySQL, HIVE, Casandra, MongoDB, HBASE, Zookeeper , Chukwa , PIG, Hive, Spark – Java Integration

  • Storm/Spark – Real time Analytics

  • Java/Python + Hadoop + NoSQL E2E Application

 

Managerial decisions based on data - Introduction

  • Statistic Overview

  • Forecasting, and Projection Algorithm [R, Excel]

  • Classification, Clustering, Regression Algorithm

  • Descriptive and Visual Data Analysis [Neo4J]

  • Machine Learning [Mahout, R]

 

  • Theory topics are complimented by hands on LAB

  • Project Work:  Real Industrial problem solution in a classroom setting

 

 

Duration: 80 hours

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