Big Data Training/Course 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    
10000+
20+
50+
25+

Big Data Jobs in Winnipeg

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 Winnipeg, chennai and europe countries. You can find many jobs for freshers related to the job positions in Winnipeg.

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

TechnoMaster is making Big Data experts

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Big Data Internship/Course Details

Big Data internship jobs in Winnipeg
Big Data NESTSOFT Big Data Training is designed to turn you become a certified Big Data specialist by providing you with extensive hands-on experience. Big data analytics enables businesses to integrate their data and use it to identify new opportunities. Our Big Data online training course will assist you in learning Big Data and advancing your Big Data profession. This on-site Big Data training will get you up and running in the most difficult professional abilities. Big data refers to methods for analysing, methodically extracting information from, or generally dealing with data collections that are too large or complicated for typical data-processing application software to handle. The NESTSOFT Big Data course covers a wide range of topics in big data, including data generation, storage, management, and transfer, as well as analytics, with a focus on cutting-edge technologies, tools, architectures, and systems that make up big-data computing solutions in high-performance networks. Python, JavaScript, and Java are among the languages utilised. 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. . When it comes to seeking for the best jobs, having the Big Data certification can put you in a different group.

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List of Training Institutes / Companies in Winnipeg

  • DigitalContentFactoryLtd. | Location details: 187 Commerce Dr, Winnipeg, MB R3P 1A2, Canada | Classification: Software training institute, Software training institute | Visit Online: digitalcontentfactory.com | Contact Number (Helpline): +1 866-258-6233
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  • BinesiTrainingCentre | Location details: 30 Fort St #24, Winnipeg, MB R3C 1C4, Canada | Classification: Training centre, Training centre | Visit Online: binesi.ca | Contact Number (Helpline): +1 204-594-9001
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  • ManitobaInstituteOfTradesAndTechnology | Location details: 609 Erin St, Winnipeg, MB R3G 2W1, Canada | Classification: High school, High school | Visit Online: mitt.ca | Contact Number (Helpline): +1 204-989-6434
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  • ManitobaInstituteOfTradesAndTechnology | Location details: 1551 Pembina Hwy, Winnipeg, MB R3T 2E5, Canada | Classification: Educational institution, Educational institution | Visit Online: mitt.ca | Contact Number (Helpline): +1 204-989-6500
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  • RRCPolytech | Location details: 2055 Notre Dame Ave, Winnipeg, MB R3H 0J9 | Classification: College, College | Visit Online: rrc.ca | Contact Number (Helpline): (204) 632-3960
courses in Winnipeg
The topics encompass the perspectives of enterprise and the kingdom of prepared labour; the want for immigrants and industry; the information of typhoid, poverty, and prostitution; the presence of unchecked city increase and the absence of city and social planning. Artibise`s quantity tells us a lot approximately Manitoba`s maximum distinguished town; however it additionally suggests that “city records” has emerge as one of the dominant regions of Canadian historic scholarship withinside the beyond decade. Smith, who resigned as General Editor in May, 1979, after eighteen years of dedicated provider. IN APRIL 2016, EDMONTON HOSTED the Tamarack Institute`s Cities Reducing Poverty: When Mayors Lead convention. Clark, of the Department of History, University of Manitoba, a stated authority at the late 19th century political records of Manitoba and Canada. Calgary is turning into a pacesetter in making public transit cheap with a complete low earnings bus byskip program. How did the City of Winnipeg method this problem? By acknowledging, listening, and taking action. This coverage became evolved to manual the town in making decisions concerning requests to create new, upload to, or remove/rename historic markers and vicinity names and solve the absence of Indigenous views, experiences, and contributions in the memories remembered and commemorated. 1. Toronto`s finances allocated $185 million in poverty discount spending.

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