Course OverView

Big Data Hadoop course Overview

Hadoop Big Data course provides in-depth awareness and knowledge to the learners about the core concepts of Hadoop and Big Data tools that range from basic to advanced levels. You can also gain exposure to the industry-based projects that go in line with the Hadoop Certifications. Enroll today and be a Big Data Hadoop certified developer!

Course Benefits

Our Big Data Hadoop course Online Options

 

?        Big Data Hadoop Live Training

 

?      Practical Big Data Hadoop sessions and development of industry-specific skills

?      Multiple training schedules

?      Expert-driven virtual sessions

?      Big Data Hadoop Certification guidance program

?      Industry-relevant case studies, assignments, and projects

?      Consulting sessions

?      Access to Big Data Hadoop training demo before you join the course

 

?        Big Data Hadoop Corporate Training

 

?      Choose the convenient learning model as per time/schedule

?      Skill development with exercise, discussions, and practical demos

?      Big Data Hadoop Certification guidance

?      Bigdata Hadoop course customization as per the corporate needs

?      Access to the industry experts for relevant insights

Why is the Big Data Hadoop Training Course Important?

The big data and analytics sector is booming, and upskilling in the field is an intelligent career decision. The worldwide Hadoop Market value is expected to reach a CAGR of about 39.3% and would hit 74.84 billion USD in 2026.

Big Data Hadoop course is suitable for the candidates looking for opportunities in Data management and analytics, IT management, Software Developers, Testing professionals, Data scientists, Mainframe professionals, And any graduates who search to kickstart a career in Hadoop Big Data.

Core Features of our Big Data Hadoop Course Online

?        Choose your time

You can gain access to our Big data Hadoop training with flexibility in the timings and select the sessions as per your convenience.

?        Try before you are in

You can enjoy the benefit of having access to the live demo Big Data Hadoop training before you join the complete course.

?        Support round the clock

Get in touch with the team of experts for live interaction and solve your concerns when and where required.

?        Consulting support anytime

Experience the one-to-one support and foster the best learning environment with learner support anytime.

?        Value-oriented certifications

Our value-specific certifications can be an ideal contribution to your professional CV and portfolio.

?        Projects in line with the trends

Projects, industry-driven case studies, and assignments give you a comprehensive understanding of Big Data Hadoop professional mastery.

?        Learning documents for a lifetime

Big Data Hadoop live training can give access to all learning resources and presentations for a lifetime. This enables your career growth as a Big Data Hadoop expert.

Course Topics

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    Big Data Hadoop Online Training Curriculum

     

    Our cloud experts fuse the expertise and technology to impart advanced Big Data Hadoop training to the learners. Our hands-on expertise helps you to learn the skills and get insights on Big Data Hadoop quickly. Our focus is to offer a promising learning experience and bind the Big Data Hadoop course curriculum with exceptional training by certified practitioners. The learning curriculum is as follows:

     

    1.      Big data and Hadoop basics

     

    The module discusses Existing Data analytics architecture and its limitations, Hadoop introduction, features, components, MapReduce framework storage, processing, and various distributions.

     

    2.      YARN

     

    Yet Another Resource Negotiator, processing and management, benefits of YARN, and functions.

     

    3.      Hadoop Architecture and HDFS

     

    In this module you learn about Hadoop 2. x Cluster Architecture,  Hadoop Cluster and Hadoop Cluster Modes, major Hadoop Shell Commands, Single node and Multi-node clusters, and Hadoop Administration setup.
     

    4.      MapReduce Frameworks for Hadoop

     

    The section deals with MapReduce significance, use cases, architecture, components, YARN execution flow, MapReduce Demo, Input splits Vs HDFS blocks, Combiner & Partitioner, MapReduce parsing for XML files, Sequence Input Format.

     

    5.      Pig

    Basics, comparison of Pig and MapReduce, use cases, programming layout, running modes, execution, components, Latin program, Pig Data models and data types, group operator, Relational operator, Union, diagnostic operators, COGROUP operators, built-in functions, and specialized joins.

     

    6.      Hive

     

    The module discusses Hive Background, Use cases, basics, Hive Vs Pig, Architecture and Components of Hive, Metastore, Limitations, Hive Comparison with Traditional Database, Hive Data Types, Hive Data Models, Partitions and Buckets, Hive Tables, Importing Data, Querying Data, Managing Hive Outputs, Hive Script, and Hive UDF.

     

    7.      Advanced Hive and HBase

     

    This section teaches about  Joining Tables, Dynamic Partitioning, Hive Indexes, Hive query optimization, User Defined Functions, HBase and RDBMS comparison, architecture, components, Hive Run Modes & Configuration, and HBase Cluster Deployment.

     

     

    8.      HBase advanced concepts

     

    In the module, you learn about HBase Data Model and shell, Data Loading Techniques, ZooKeeper Data Model, service, Bulk Loading Demos, data insertion, and HBase filters.

     

    9.      Sqoop

     

    You will learn about Sqoop overview, getting started, big data management with Scoop, and the core elements.

     

    10.  Flume

     

    You can gain insights about Flume Introduction, Flume Architecture, Flume Master, Flume Collector,  Flume Agent, Flume Configurations, and Use cases.

     

     

    11.  MongoDB (As part of NoSQL Databases)

     

    You can learn about the importance of NoSQL Databases, Relational and Non-Relational Databases, MongoDB fundamentals, installation, basic processes, and use cases.

     

    12.  Spark

     

    In this section, you learn about Apache Spark,  Big data, and Spark, which uses Spark, SparkShell installation, StandAlone Cluster, SparkShell Configuration, and RDD Operations.

     

    13. Practice Test and Interview

    You get access to the detailed Hadoop course, interview questions, and answers, with a professional resume support feature.

    • Job Roles

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    Why Choose Us?

    ?        Advanced learning material

    The course providers have complete access to all the learning materials and Hadoop Big Data resources.

    ?        Expert Big Data Hadoop faculty

    We behold expertise in providing comprehensive solutions to the candidates with advanced Big Data Hadoop training.

    ?        Industry-specific case studies

    Our team focuses on offering quality-specific training to render basic concepts with a hands-on approach. This exposure to the current industry use cases lets learners upskill themselves and conduct real-time projects.

    ?        Adaptable training curriculum

    We offer flexible timings for the trainings and help you conveniently opt for the preferred schedule among these available options.

    ?        Job-specific learning experience

    Post completion of the Big Data Hadoop online courses, you earn certifications, interview preparation, job-specific training, resume assistance, etc.