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
10000+
20+
50+
25+

Big Data Jobs in San Francisco

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

  • 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 San Francisco
Big Data 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. 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. When it comes to seeking for the best jobs, having the Big Data certification can put you in a different group. 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. Experienced industry specialists with more than ten years of experience cover in-depth knowledge of Big Data and Ecosystem technologies. Our Big Data online training course will assist you in learning Big Data and advancing your Big Data profession. Python, JavaScript, and Java are among the languages utilised. This on-site Big Data training will get you up and running in the most difficult professional abilities. 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. 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

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in San Francisco

  • EFInternationalLanguageCampus-EnglishCoursesInSanFrancisco | Location details: 1355 Sansome St #4, San Francisco, CA 94111, United States | Classification: English language school, English language school | Visit Online: ef.com | Contact Number (Helpline): +1 415-409-0800
  • HackReactor | Location details: 44 Tehama St, San Francisco, CA 94105, United States | Classification: Computer training school, Computer training school | Visit Online: hackreactor.com | Contact Number (Helpline): +1 415-268-0355
  • AIRTELEXPRESS(AKSHAYTELECOM-AuthorizedChannelPartnerOfBhartiAirtel) | Location details: Shop No- 3, San francisco Building, Tokarkhada, Silvassa, Dadra and Nagar Haveli 396230, India | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: | Contact Number (Helpline): +91 96010 49362
Between 2000 and 2004, the board shifted from almost unanimous help for Ackerman`s proposals, to a 4-three cut up in prefer of maximum resolutions proposed via way of means of the superintendent and district team of workers. On a day in April 2004, Superintendent Arlene Ackerman hung up the telecellsmartphone with California Secretary of Education Richard Riordan feeling each excited and challenged. As a result, the district operated below a consent decree, controlled via way of means of a federal judge, which required SFUSD to satisfy instructional fairness goals for all college students withinside the district. Ackerman and her team of workers had already all started asking themselves the identical questions. Commissioners frequently noticed themselves as representatives of precise network corporations or unique hobbies that had supported their candidacy, instead of as at–huge individuals with a citywide perspective. In California, districts operated below a kingdom sales restriction, which tried to equalize according to scholar spending throughout districts. With over 30 years of revel in in public training as a instructor, main and deputy superintendent in severa districts, Ackerman had maximum recently been the superintendent of the general public faculty gadget in Washington, D. The numerous scholar frame become 31% Chinese, 21% Latino, 15% AfricanAmerican, 10% White, 7% Filipino, and 16% different non-white minorities. Additionally, as in different city districts withinside the U. Local reassets accounted for 93% of SFUSD`s sales restriction investment.

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