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    Hadoop Training in Dallas

    BY
    Mindmajix Technologies

    Enrich your understanding of Hadoop through the Mindmajix-offered online Hadoop Training in Dallas course.

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    Mode

    Online

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays, Weekends

    Course overview

    Hadoop Training in Dallas Course is an online training designed to acquaint the learners with Hadoop and equip them with the knowledge and mastery of Hadoop required to clear the Hadoop certification. The curriculum will cover all the aspects of Hadoop such as Big Data, Hadoop Storage, Hadoop Processing, MapReduce Framework, Flume, and many more. Hadoop Training in Dallas online course will render the students both the theoretical and practical aspects of Hadoop with the help of various hands-on projects like Solution Advisor Analysis, industry use case, and real-time examples. 

    Offered by Mindmajix Technologies, the Hadoop Training in Dallas certification could be taken by the candidates through either of the three modes of enrolment on offer i.e the corporate training, the self-paced training through pre-recorded videos, and instructor-led online live sessions via Google meet or Zoom. 

    The highlights

    • 100%  online course
    • Offered by Mindmajix
    • FREE Demo on Request
    • Flexible Schedule
    • Online Live and Self-paced Training Options
    • 24/7 Lifetime Support
    • Life-Time Self-Paced Videos Access
    • One-on-One Doubt Clearing
    • Certification Oriented Curriculum  

    Program offerings

    • One-on-one doubt clearing sessions
    • Certification oriented curriculum
    • Real-time project use cases
    • 20 hours of labs
    • Free demo on request
    • 24/7 lifetime support
    • 40 hours of sessions
    • Different training options

    Course and certificate fees

    certificate availability

    Yes

    certificate providing authority

    Mindmajix Technologies

    What you will learn

    Knowledge of big data Knowledge of mongodb

    Through the Hadoop Training in Dallas online certification, the students will deeply delve into the concepts of YARN, Hadoop Architecture, HDFS, Pig, Hive, advanced HBase, Sqoop, Sqoop Architecture, MongoDB, Spark, Flume Configurations, NoSQL Databases, and much more. 

    The syllabus

    Understanding Bigdata and Hadoop

    • Introduction to Big Data
    • Limitations and Solutions of existing Data Analytics Architecture
    • Introduction to Hadoop
    • Hadoop Features
    • Hadoop Ecosystem
    • Hadoop 2.x core components
    • Hadoop Storage: HDFS
    • Hadoop Processing: MapReduce Framework
    • Hadoop Different Distributions.

    YARN

    • YARN (Yet another Resource Negotiator) – Next Gen.
    • Map Reduce
    • What is YARN?
    • Difference between Map Reduce & amp; YARN
    • YARN Architecture
    • Resource Manager Application Master Node Manager.

    Hadoop Architecture and HDFS

    • Hadoop 2.x Cluster Architecture - Federation and High Availability
    • A Typical Production Hadoop Cluster
    • Hadoop Cluster Modes
    • Common Hadoop Shell Commands
    • Single node cluster and Multi node cluster set up Hadoop Administration

    Hadoop Mapreduce Frameworks

    • MapReduce Use Cases
    • Why MapReduce 
    • Hadoop 2.x MapReduce Architecture
    • Hadoop 2.x MapReduce Components 
    • YARN MR Application Execution Flow
    • YARN Workflow
    • Demo on MapReduce
    • Input Splits
    • Relation between Input Splits and HDFS Blocks 
    • MapReduce: Combiner & Partitioner
    • Sequence Input Format
    • Xml file Parsing using MapReduce

    Pig

    • Introduction to Pig
    • MapReduce Vs Pig
    • Pig Use Cases
    • Programming Structure in Pig
    • Pig Running Modes
    • Pig components
    • Pig Execution
    • Pig Latin Program
    • Data Models inPig
    • Pig Data Types
    • Shell and Utility Commands
    • Pig Latin: Relational Operators
    • Group Operator
    • COGROUP Operator
    • Joins and COGROUP
    • Union
    • Diagnostic Operators
    • Specialized joins in Pig
    • Built In Functions (Eval Function, Load and StoreFunctions, Math function, String Function, Date Function, Pig UDF, Piggybank,Parameter Substitution (PIG macros and Pig Parameter substitution)

    Hive

    • Hive Background
    • Hive Use Case
    • About Hive
    • Hive Vs Pig
    • Hive Architecture and Components
    • Metastore in Hive
    • Limitations of Hive
    • Comparison with Traditional Database
    • Hive Data Types and Data Models
    • Partitions and Buckets
    • Hive Tables(Managed Tables and External Tables)
    • Importing Data 
    • Querying Data
    • Managing Outputs
    • Hive Script
    • Hive UDF
    • Retail use case in Hive

    Advanced Hive and HBase

    • Hive QL: Joining Tables
    • Dynamic Partitioning
    • Hive Indexes and views Hive query optimizers
    • Hive: Thrift Server
    • User Defined Functions
    • HBase: Introduction to NoSQL Databases and HBase
    • HBase v/s RDBMS
    • HBase Components
    • HBase Architecture
    • Run Modes & Configuration
    • HBase Cluster Deployment

    Advanced HBase

    • HBase Data Model
    • HBase Shell
    • Data Loading Techniques
    • ZooKeeper Data Model
    • Zookeeper Service
    • Zookeeper 
    • Demos on Bulk Loading
    • Getting and Inserting Data
    • Filters in HBase

    Sqoop

    • Sqoop Architecture 
    • Sqoop Installation 
    • Sqoop Commands(Import, Hive-Import, EVal, Hbase Import, Import All tables,Export) 
    • Connectors to Existing DBs and DW 
    • Hands on Exercise

    Flume

    • Flume Introduction
    • Flume Architecture
    • Flume Master
    • Flume Collector and Flume Agent
    • Flume Configurations
    • Real Time Use Case using Apache Flume

    MongoDB (As part of NoSQL Databases)

    • Need of NoSQL Databases
    • Relational VS Non-Relational Databases
    • Introduction to MongoDB
    • Features of MongoDB
    • Installation of MongoDB
    • Mongo DB Basic operations
    • REAL Time Use Cases on Hadoop &
    • MongoDB Use Case

    Spark

    • Introduction to Apache Spark 
    • Role of Spark in Big data 
    • Who is using Spark 
    • Installation of SparkShell and StandAlone Cluster 
    • Configuration 
    • RDD Operations (Transformations and actions)

    Hadoop Project

    • A demo project using all the components of the above topics

    Practice Test & Interview Questions

    Instructors

    Mr Ankith
    Instructor
    Mindmajix Technologies

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