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Big Data Hadoop Certification Washington Training Course

  • Get yourself enlisted at our expansive, genuine endeavors drove Hadoop Training Washington Program to prove the aptitudes and gadgets in the Hadoop natural framework.
  • Get acquainted with all the practical learnings around Hadoop Architecture, Apache PIG, Hive, SQOOP, Hbase, YARN, Impala, Apache Spark with Scala, and OOZIE that will help you in qualifying the capable Hadoop Certification Washington and make your calling a mentioning one.

Know what all it takes to design and develop solutions around the Hadoop System!

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Why to go for Hadoop training certification?

How about we go over and have a nearby look with respect to why certification of Hadoop Training Washington courses is an unquestionable requirement.

#1

Hadoop is the no. 1 Big data management Framework.

$120k+

The average Hadoop Developer salary in USA is $120,450 per year

Salesforce Growth

You Should Join Our Classes If You Are:

  • Just starting off & aren’t sure where to start from
  • In an established role but need to dive deep
  • Looking to brush up your skills & master the course
  • Willing to get better in your current or new job

$670.8 B

Global Hadoop Market is Estimated to Reach $670.8 billion by 2025.

1.6K

1.6K Students have successfully completed Big Data Hadoop training and now working for top MNC's

Thriving Career Opportunities - What and Where!

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Know what all it takes to design and develop solutions around the Hadoop System!

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Big Data Hadoop Engineer

Some Hilarious & Concealed Facts About Washington

  • The city has each movement/work situated in the close region - It will be very simple for you to stroll to your Data Scientist/Analyst's job real quick.
  • Washington has lucrative compensation employments - 30% Jersey inhabitants have 6 figures pay - it resembles you also can accomplish that by seeding requested Data Science abilities.
  • It is the capital of the United States, and home to the most powerful man in the free world, the President of the United States.
  • Washington, DC is a very international city, home to more than 175 embassies and international cultural centers. Fifteen percent of DC residents speak a language other than English.
Washington D.C. has around 130 distinct neighborhoods within its four quadrants of the city. Featuring world-class museums, monuments and memorials, an eclectic mix of historic and modern architecture and vibrant communities with trendy restaurants and bars, there's a neighborhood for every personality."D.C." stands for the "District of Columbia" which is the federal district containing the city of Washington. The city is named for George Washington, military leader of the American Revolution and the first President of the United States. Washington- DC area has lots of cultural activities, entertainment, shopping, festivals, outdoor recreation, and great restaurants.
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Instructor-led Live Online Hadoop Classes


Starting
Duration
Price

calendar-icon113 Sep

WEEKDAY - Filling Fast

6 weeks

USD 1199

USD 1019

Flat 15% Off

calendar-icon127 Sep

WEEKDAY

6 weeks

USD 1199

calendar-icon114 Sep

WEEKEND

6 weeks

USD 1199

calendar-icon111 Oct

WEEKDAY

6 weeks

USD 1199

calendar-icon125 Oct

WEEKDAY

6 weeks

USD 1199

USD 959

Flat 20% Off

Early Bird Discount

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Detail
WEEKDAY - Filling Fast

calendar-icon113 Sep


6 weeks

USD 1199

USD 1019

Flat 15% Off

Enroll Now
WEEKDAY

calendar-icon127 Sep


6 weeks

USD 1199

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Big Data Hadoop Course Roadmap

Take a look at the benchmarks you will achieve during your Big Data Learning Path

Hadoop Architecture, HDFS and MapReduce

    • Introduction to BIGDATA and HADOOP.
    • Relation between Big Data and Hadoop.
    • What is the need of going ahead with Hadoop?
    • Scenarios to apt Hadoop Technology in REAL TIME Projects.
    • How Hadoop is addressing Big Data Changes
    • Importance of Hadoop Ecosystem Components
    • What is HDFS (Hadoop Distributed File System).
    • HDFS Architecture - 5 Daemons of Hadoop
    • Replication in Hadoop - Fail Over Mechanism
    • Hadoop Cluster Setup and JDK Installation.
    • Why is Map Reduce is essential in Hadoop?
    • MapReduce and drawbacks w.r.to Task Tracker Failure in Hadoop Cluster.
    • Map Reduce Life Cycle & Communication Mechanism of Job Tracker & Task Tracker

Unix Shell & Apache Pig Installation & HIVE Installation & User Defined Functions

    • Unix Shell & Apache Pig Installation
      • How to write a basic Map Reduce Program
      • Compression Techniques in Map Reduce
      • Unix Shell Scripting Basics and commands.
      • How Unix shell used in hadoop
      • PIG Installation (Hands on Installation on Laptops)
      • Introduction to Apache Pig
      • Map Reduce Vs Apache Pig
      • Where to Use Map Reduce and PIG in REAL Time Hadoop Projects
      • How to write a simple pig script
      • Parameter substitution in PIG Scripts
      • How to develop the Complex Pig Script
      • Bags , Tuples and fields in PIG
    • HIVE Installation & User Defined Functions
      • HIVE Installation(Hands on Installation on Laptops)
      • Local Mode & Clustered Mode
      • Hive Introduction and need of Apache HIVE in Hadoop
      • When to choose PIG & HIVE in REAL Time Project
      • Importance Of Hive Meta Store.
      • Communication mechanism with Metastore.
      • Hive Integration with Hadoop & Hive Query Language(Hive QL)
      • SQL VS Hive QL, Data Slicing Mechanisms and Partitions In Hive
      • Partitioning Vs Bucketing
      • Collection Data Types in HIVE
      • User Defined Functions(UDFs) in HIVE
      • UDFs, UDAFs, UDTFs and need of UDFs in HIVE
      • Hive Serializer/Deserializer - SerDe
      • Semi Structured Data Processing Using Hive(XML/JSON)
      • HIVE - HBASE Integration

SQOOP & Hbase Installation & YARN Architecture, Impala & Apache Spark With Scala

    • SQOOP & Hbase Installation
      • Sqoop installation with MySQL Client
      • Introduction to Sqoop.
      • MySQL client and Server Installation
      • How to connect to Relational Database using Sqoop
      • Different Sqoop Commands
      • Hive-Imports, Incremental import,
      • import all table and import using password on file
      • Hbase introduction and HDFS Vs Hbase
      • Hbase Data modeling Elements
      • Hbase Architecture & Clients(REST,Thrift,Java Based,Avro)
      • MongoDB basics & Introduction to MongoDB
      • Features of MongoDB
      • REAL Time Use Cases on Hadoop & MongoDB Use Cases
    • YARN Architecture, Impala & Apache Spark With Scala
      • What is YARN?
      • Difference between Map Reduce & YARN
      • YARN Architecture(Resource Manager,Application Master,Node Manager),
      • When should we go ahead with YARN
      • YARN Process flow and Web UI
      • Different Configuration Files for YARN.
      • What is Impala? & How can we use Impala for Query Processing?
      • When should we go ahead with Impala
      • HIVE Vs Impala
      • Real time Use Cases with Impala.
      • Interactive Scala - Scala Shell
      • Functional Programing in Scala
      • What is Functional Programming
      • Difference between Object Oriented and Functional
      • Flume Master , Flume Collector and Flume Agent
      • Real Time Use Case using Apache Flume.

Apache OOZIE and Spark

    • Oozie Introduction, Oozie Architecture & Job Submission
    • Spark Vs Map Reduce Processing
    • File Operations in Spark Shell.
    • Introduction to Spark Components.
    • What is RDD and why it is important in Spark
    • Core Features of RDD & Lazily Evaluated
    • Different Operation on RDDs
    • Actions and Transformation in RDD
    • Running Spark in a Clustered Mode.
    • Introduction to Spark SQL
    • The SQL Context, Hive Vs Spark SQL
    • Introduction to Data Frames [ Dfs ]

Introduction to Big Data and Hadoop

  • Hadoop career roadmap

    With the help of our Big Data Courses and the curriculum associated with it, many of our students have landed great jobs with high paying salary packages. Here is what we cover during the Hadoop Course.

    Here is what all we cover in our online Salesforce Course. Each topic has been detailed with the sub-topic that we cover.

Course Curriculum

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