Big Data Training by Experts

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Our Training Process

Big Data - Syllabus, Fees & Duration

MODULE 1: Introduction to Big Data and Hadoop

  • Types of Digital Data
  • Introduction to Big Data
  • Big Data Analytics
  • History of Hadoop
  • Apache Hadoop
  • Analysing Data with Unix tools
  • Analysing Data with Hadoop
  • Hadoop Streaming
  • Hadoop Echo System
  • IBM Big Data Strategy
  • Introduction to Infosphere BigInsights
  • Big Sheets

MODULE 2: HDFS (Hadoop Distributed File System)

  • The Design of HDFS
  • HDFS Concepts
  • Command Line Interface
  • Hadoop file system interfaces
  • Data flow
  • Data Ingest with Flume and Scoop and Hadoop archives
  • Hadoop I/O: Compression
  • Serialization
  • Avro and File-Based Data structures

MODULE 3: Map Reduce

  • Anatomy of a Map Reduce Job Run
  • Failures, Job Scheduling
  • Shuffle and Sort
  • Task Execution
  • Map Reduce Types and Formats
  • Map Reduce Features

MODULE 4: Hadoop Eco System

  • Pig : Introduction to PIG
  • Execution Modes of Pig
  • Comparison of Pig with Databases
  • Grunt, Pig Latin
  • User Defined Functions
  • Data Processing operators
  • Hive : Hive Shell
  • Hive Services
  • Hive Metastore
  • Comparison with Traditional Databases
  • HiveQL
  • Tables
  • Querying Data and User Defined Functions
  • Hbase: HBasics
  • Concepts
  • Clients
  • Hbase Versus RDBMS
  • Big SQL: Introduction

MODULE 5: Data Analytics with R

  • Machine Learning: Introduction
  • Supervised Learning
  • Unsupervised Learning
  • Collaborative Filtering
  • Big Data Analytics with BigR.
  • Download Syllabus - Big Data
Course Fees
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Big Data Jobs in Launceston

Enjoy the demand

Find jobs related to Big Data in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Launceston, chennai and europe countries. You can find many jobs for freshers related to the job positions in Launceston.

  • MIS Reporting Executive
  • Business Analyst
  • Data Analyst
  • Statistician
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Machine Learning Engineer
  • Big Data Engineer
  • Big Data Solution Architect

Big Data Internship/Course Details

Big Data internship jobs in Launceston
Big Data Our Big Data online training course will assist you in learning Big Data and advancing your Big Data profession. NESTSOFT Big Data Training is designed to turn you become a certified Big Data specialist by providing you with extensive hands-on experience. The advantages of Big Data include that it aids in the advancement of science and research, it enhances public health and healthcare through the availability of patient records, it aids in financial trading, and it is a single platform that can carry a limitless amount of data. Big data analytics enables businesses to integrate their data and use it to identify new opportunities. The big data course in location is designed to prepare students for a future as Big Data Engineers in the industry. When it comes to seeking for the best jobs, having the Big Data certification can put you in a different group. Our skilled instructors may train you during the web training. Real-life As an illustration of the event, execution, and deployment of an enormous range of new big-data solutions, Big Data applications and workflows in many fields are provided as use cases. You can land your dream positions like Data Engineer, Big Data Lead, Technical Program Manager, Big Data Developer, and Product Engineer by completing a Big Data certification course from location. Students who complete NESTSOFT's massive data course will be able to: Identify Big Data and its Business Implications, List the components of Hadoop and Hadoop Eco-System, Access and Process Data on Distributed File Systems, Manage Job Execution in Hadoop Environment, Develop Big Data Solutions using Hadoop Eco System, Analyze Infosphere Big Insights Big Data Recommendations, and Apply Machine Learning Techniques in R.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Launceston

 courses in Launceston
2 Paul Davies Pty Ltd T H E S T U D Y The Launceston Heritage Study aims to: • identify and analyse the cultural heritage of the city and suburban areas of the City of Launceston, • provide an inventory of information on individual heritage places deemed worthy of entry in the Tasmanian Heritage Register and in a format compatible with the Register and its standard data sheet, • provide historical information on initial construction date of principal structures on each place, the owner at the time of construction, any information on that owner or any subsequent owners that makes a case for that individual being important to Tasmania's history, and • provide an inventory of precincts worthy of heritage protection under the Launceston Planning Scheme 1996 and provide a description of the particular heritage qualities of those precincts. 1, 2. This is complemented by a vibrant Council regarded as one of Australia's best and most innovative local authorities offering its citizens parks, museums, art galleries and social services since 1900, a modern water treatment system residual and hydroelectric power. Records held by the Community History Museum of the Queen Victoria Museum Launceston Heritage Study: Thematic History Paul Davies Pty Ltd 3 and Art Gallery and the Local Studies Centre at the Launceston City Library were also extensively used. At the same time, Launceston's economy was boosted by the discovery and exploitation of rich mining areas in western and north-eastern Tasmania, and the city became the colony's main trading centre. It also uses the sub-themes identified by the project, although locations have been changed to better suit the stories the city has to offer. is not the final date for the study area. These papers, along with a further , papers, provided the main source of information for this study. It uses as a framework the core themes identified by the Australian Heritage Council's Australian History Project . The remainder was originally written by Natalie Cervant and edited by Ian Terry, with additional material added occasionally.

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