Big Data Hadoop Certification Training

  624 ratings     2445 students
    • Get certified in Big Data and Hadoop and transform your career

    • Start learning Big Data and Hadoop right now from the comfort of your home and get certified at the end of course

    • Curated by Hadoop industry experts, the course covers in-depth knowledge on Big Data and Hadoop Ecosystem

    • 30 hours of online live instructor-led classes with hands-on practice with Cloud Lab

    • We guarantee great learning experience at the lowest price in the industry

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Description

Overview

As organizations have realized the benefits of Big Data Analytics, there is a huge demand for Big Data & Hadoop professionals. McKinsey predicts that there will be a shortage of 1.5M data experts by end of this year. Companies are looking for Big data & Hadoop experts with the knowledge of Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume. 

This Hadoop Training program is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem. This Hadoop developer certification training is stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects.

 

Course Objectives:

Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop course offers:

  • In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce
  • Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
  • The exposure to many real world industry-based projects which will be executed in Edureka’s CloudLab
  • Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce
  • Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices

Big Data analytics is one of the fastest growing markets and Hadoop is quickly becoming a must-know technology in Big Data architecture. There is a tremendous demand for certified Big Data Hadoop professionals. Our Big Data & Hadoop Certification Training helps you to grab this opportunity and accelerate your career. This Big Data Hadoop Course can be pursued by experienced professionals as well as freshers looking to build a career in Big Data Analytics. It is best suited for:

  • Software Developers
  • Software Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing Professionals
  • Mainframe Professionals
  • DBAs and DB professionals
  • ETL and Data Warehousing Professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates interested in pursuing a career in Big Data Analytics

There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, a complimentary self-paced course on "Java essentials for Hadoop" will be provided to you.

Big Data is one of the fastest growing fields today and hence it presents tremendous career opportunities to professionals who are adept at Big Data Analytics. The below mentioned details will help you in understanding the growth of Big Data:

  • Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% - Forbes
  • McKinsey predicted that by 2018 there would be a shortage of 1.5M data experts
  • Average Salary of Big Data Hadoop Developers is $135K

To pursue these opportunities for an individual, a structured training with an updated curriculum as per the current industry requirements and best practices is essential. Besides strong theoretical understanding, you need to work on various real world big data projects using different Big Data and Hadoop tools as a part of solution strategy.

Additionally, you need the guidance of a Hadoop expert who is currently working in the industry on real world Big Data projects and troubleshooting day to day challenges while implementing them.

We guarantee that this certification course will make you a Big Data expert and you will be able to tap the tremedous opportunity around Big Data.

Yes, there will be practicals and assignments. You will execute all your Big Data Hadoop Course Assignments/Case Studies on your Cloud LAB environment whose access details will be available on your LMS. You’ll be able to access the Cloud Lab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our 24*7 support team will promptly assist you.

Since this is a live-online course conducted using a web-conferencing tool, you can join from any location and directly interact with the instructor. All you need is a standard computer with speaker/headset and a decent internet connection.  

For practicals, you don’t have to worry about the system requirements as you will be executing your execises on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.

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Agenda

  • Introduction to Big Data & Big Data Challenges
  • Limitations & Solutions of Big Data Architecture
  • Hadoop & its Features
  • Hadoop Ecosystem
  • Hadoop 2.x Core Components
  • Hadoop Storage: HDFS (Hadoop Distributed File System)
  • Hadoop Processing: MapReduce Framework
  • Different Hadoop Distributions
  • Hadoop 2.x Cluster Architecture
  • Federation and High Availability Architecture
  • Typical Production Hadoop Cluster
  • Hadoop Cluster Modes
  • Common Hadoop Shell Commands
  • Hadoop 2.x Configuration Files
  • Single Node Cluster & Multi-Node Cluster set up
  • Basic Hadoop Administration
  • Traditional way vs MapReduce way
  • Why MapReduce
  • YARN Components
  • YARN Architecture
  • YARN MapReduce Application Execution Flow
  • YARN Workflow
  • Anatomy of MapReduce Program
  • Input Splits, Relation between Input Splits and HDFS Blocks
  • MapReduce: Combiner & Partitioner
  • Demo of Health Care Dataset
  • Demo of Weather Dataset
  • Counters
  • Distributed Cache
  • MRunit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format
  • XML file Parsing using MapReduce
  • Introduction to Apache Pig 
  • MapReduce vs Pig
  • Pig Components & Pig Execution
  • Pig Data Types & Data Models in Pig
  • Pig Latin Programs
  • Shell and Utility Commands
  • Pig UDF & Pig Streaming
  • Testing Pig scripts with Punit
  • Aviation use-case in PIG
  • Pig Demo of Healthcare Dataset
  • Introduction to Apache Hive
  • Hive vs Pig
  • Hive Architecture and Components
  • Hive Metastore
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Hive Partition
  • Hive Bucketing
  • Hive Tables (Managed Tables and External Tables)
  • Importing Data
  • Querying Data & Managing Outputs
  • Hive Script & Hive UDF
  • Retail use case in Hive
  • Hive Demo on Healthcare Dataset
  • Hive QL: Joining Tables, Dynamic Partitioning
  • Custom MapReduce Scripts
  • Hive Indexes and views 
  • Hive Query Optimizers
  • Hive Thrift Server
  • Hive UDF
  • Apache HBase: Introduction to NoSQL Databases and HBase
  • HBase v/s RDBMS
  • HBase Components
  • HBase Architecture
  • HBase Run Modes 
  • HBase Configuration
  • HBase Cluster Deployment
  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Hive Data Loading Techniques
  • Apache Zookeeper Introduction
  • ZooKeeper Data Model
  • Zookeeper Service
  • HBase Bulk Loading
  • Getting and Inserting Data
  • HBase Filters
  • What is Spark
  • Spark Ecosystem
  • Spark Components
  • What is Scala
  • Why Scala
  • SparkContext
  • Spark RDD
  • Oozie
  • Oozie Components
  • Oozie Workflow
  • Scheduling Jobs with Oozie Scheduler
  • Demo of Oozie Workflow
  • Oozie Coordinator
  • Oozie Commands
  • Oozie Web Console
  • Oozie for MapReduce
  • Combining flow of MapReduce Jobs
  • Hive in Oozie
  • Hadoop Project Demo
  • Hadoop Talend Integration

1) Analyses of a Online Book Store

  • Find out the frequency of books published each year. (Hint: Sample dataset will be provided) 
  • Find out in which year maximum number of books were published 
  • Find out how many books were published based on ranking in the year 2002. 

Sample Dataset Description

The Book-Crossing dataset consists of 3 tables that will be provided to you. 

 

2) Airlines Analysis 

  • Find list of Airports operating in the Country India
  • Find the list of Airlines having zero stops
  • List of Airlines operating with code share
  • Which country (or) territory having highest Airports
  • Find the list of Active Airlines in United state

Sample Dataset Description

In this use case, there are 3 data sets. Final_airlines,  routes.dat,  airports_mod.dat 

Certification & Exam

Towards the end of the course, you will be working on a project. You will be certified as a Big Data and Hadoop Expert based on the project. Once you  successfully submit your Big Data & Hadoop certification project, it will be reviewed by the expert panel. After a successful evaluation, you will be awarded Big Data and Hadoop certificate.

Why Us

More than 130,000 satisfied learners have taken this course to get certified as Big Data and Hadoop expert.

We have batches both on weekends and weekdays to accommodate the need of different professionals.

Without compromising on quality, we have priced our Big Data and Hadoop training courses very competitively. We guarantee that you will find us more economical than other training providers.

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Big Data and Hadoop Expert certification, but also to empower with best practices. We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students know how to implement Big Data and Hadoop in their organizations.

All our trainers are highly qualified and certified in various industry frameworks. On an average, they have 10+ years of professional experience in their respective fields. Our trainers are not only experts in their domains but are also passionate about sharing their knowledge and expertise with other professionals thereby enriching careers of students.

In case you miss a session because of any reason, you can either attend the missed session in any other live batch or view the recorded session in the LMS.

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Cloud Lab has been provided to ensure you get real-time hands-on experience to practice your new skills on a pre-configured environment.

We are here to ensure you get heard 24/7, and to take care of every single questions and doubts you have. Our dedicated support team will provide you best in class round the clock customer support. Superior customer service is the hallmark of our company and we always go the extra mile to satisfy each of our customers whether an individual or a corporate client.

FREQUENTLY ASKED QUESTIONS


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