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Big Data Hadoop Certification Training

Big Data Hadoop Certification Training

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Edureka’s extensive Big Data Analytics certification is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led Big Data Hadoop certification training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains using Edureka’s Cloud Lab. Enroll now to learn Big Data from instructors with over 10+ years of experience, with hands-on demonstrations.

Why should you take Big Data and Hadoop?

Average Salary of Big Data Hadoop Developers is $135,000 (Indeed.com salary data)

Hadoop is popular among many leading MNCs including Honeywell, Marks & Spencer, Royal Bank of Scotland, and British Airways

Worldwide revenues for Big Data and Business Analytics solutions will reach $260 billion in 2022 with a CAGR of 11.9% as per International Data Corporation (IDC)

Big Data & Hadoop Course Description

Hadoop is an Apache project (i.e. an open source software) to store & process Big Data. Hadoop stores Big Data in a distributed & fault tolerant manner over commodity hardware. Afterwards, Hadoop tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System).
 
As organisations have realized the benefits of Big Data Analytics, so there is a huge demand for Big Data & Hadoop professionals. 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.
 
Edureka Hadoop Training 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.

Big Data is one of the accelerating and most promising fields, considering all the technologies available in the IT market today. In order to take benefit of these opportunities, you need a structured training with the latest curriculum as per current industry requirements and best practices.
 
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.

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 Hadoop Certification Training will help you to become a Big Data expert. It will hone your skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects. During Big Data & Hadoop course you will be trained by our expert instructors to:
  • Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management.
  • Understand MapReduce Framework
  • Implement complex business solution using MapReduce
  • Learn data ingestion techniques using Sqoop and Flume
  • Perform ETL operations & data analytics using Pig and Hive
  • Implementing Partitioning, Bucketing and Indexing in Hive
  • Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
  • Integrate HBase with Hive
  • Schedule jobs using Oozie
  • Implement best practices for Hadoop development
  • Understand Apache Spark and its Ecosystem
  • Learn how to work with RDD in Apache Spark
  • Work on real world Big Data Analytics Project
  • Work on a real-time Hadoop cluster

The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Hiring managers are looking for certified Big Data Hadoop professionals. Our Big Data & Hadoop Certification Training helps you to grab this opportunity and accelerate your career. Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for:
  • Software Developers, Project Managers
  • Software Architects
  • ETL and Data Warehousing Professionals
  • Data Engineers
  • Data Analysts & Business Intelligence Professionals
  • DBAs and DB professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates looking to build a career in Big Data Field
For pursuing a career in Data Science, knowledge of Big Data, Apache Hadoop & Hadoop tools are necessary. Hadoop practitioners are among the highest paid IT professionals today with salaries ranging around $97K (source: payscale), and their market demand is growing rapidly.

The below predictions 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 predicts that by 2018 there will be a shortage of 1.5M data experts
  • Average Salary of Big Data Hadoop Developers is $97k
Organizations are showing interest in Big Data and are adopting Hadoop to store & analyze it. Hence, the demand for jobs in Big Data and Hadoop is also rising rapidly. If you are interested in pursuing a career in this field, now is the right time to get started with online Hadoop Training.

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, Edureka offers a complimentary self-paced course on "Java essentials for Hadoop" when you enroll for the Big Data and Hadoop Course.

Big Data Hadoop and Spark Online Training by Edureka

Features

Real-Life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Big Data concepts.

24 x 7 Expert Support

We have lifetime 24x7 online support team to resolve all your technical queries, through ticket based tracking system.

Instructor-led Live Sessions

30 Hours of Online Live Instructor-Led Classes. Weekend Class : 10 sessions of 3 hours each. Weekday Class: 15 sessions of 2 hours each.

Assessments

Each class will be followed a quiz to assess to your learning.


Certification

Sucessfully complete your final course project and Edureka will certify you as a Big Data Expert.

Lifetime Access

You get lifetime access to LMS where presentations, quizzes, installation guide & class recordings are there.

Forum

Access to the global community forum for all our users that further facilitates learning through peer interaction and knowledge.

Big Data & Hadoop Course Curriculum

Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works.
 
Topics:
  • 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

Learning Objectives: In this module, you will learn Hadoop Cluster Architecture, important configuration files of Hadoop Cluster, Data Loading Techniques using Sqoop & Flume, and how to setup Single Node and Multi-Node Hadoop Cluster.


Topics:

  • 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

Learning Objectives: In this module, you will understand Hadoop MapReduce framework comprehensively, the working of MapReduce on data stored in HDFS. You will also learn the advanced MapReduce concepts like Input Splits, Combiner & Partitioner.


Topics:

  • 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

Learning Objectives: In this module, you will learn Advanced MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and XML parsing.

 

Topics:

  • Counters
  • Distributed Cache
  • MRunit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format
  • XML file Parsing using MapReduce

Learning Objectives: In this module, you will learn Apache Pig, types of use cases where we can use Pig, tight coupling between Pig and MapReduce, and Pig Latin scripting, Pig running modes, Pig UDF, Pig Streaming & Testing Pig Scripts. You will also be working on healthcare dataset.

 

Topics:

  • 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

Learning Objectives: This module will help you in understanding Hive concepts, Hive Data types, loading and querying data in Hive, running hive scripts and Hive UDF.

 

Topics:

  • 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

Learning Objectives: In this module, you will understand advanced Apache Hive concepts such as UDF, Dynamic Partitioning, Hive indexes and views, and optimizations in Hive. You will also acquire indepth knowledge of Apache HBase, HBase Architecture, HBase running modes and its components.

 

Topics:

  • 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

Learning Objectives: This module will cover advance Apache HBase concepts. We will see demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster & why HBase uses Zookeeper.

 

Topics:

  • 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

Learning Objectives: In this module, you will learn what is Apache Spark, SparkContext & Spark Ecosystem. You will learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark. You will be running application on Spark Cluster & comparing the performance of MapReduce and Spark.

 

Topics:

  • What is Spark
  • Spark Ecosystem
  • Spark Components
  • What is Scala
  • Why Scala
  • SparkContext
  • Spark RDD

Learning Objectives: In this module, you will understand how multiple Hadoop ecosystem www.edureka.co © 2019 Brain4ce Education Solutions Pvt. Ltd. All rights Reserved. components work together to solve Big Data problems. This module will also cover Flume & Sqoop demo, Apache Oozie Workflow Scheduler for Hadoop Jobs, and Hadoop Talend integration.

 

Topics:

  • 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

Analyses of a Online Book Store

  • Find out the frequency of books published each year. (Hint: Sample dataset will be provided)
  • B. Find out in which year the 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.

Airlines Analysis

  • Find list of Airports operating in Country India
  • Find the list of Airlines having zero stops
  • List of Airlines operating with codeshare
  • 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

Big Data Hadoop and Spark Online Training by Edureka

Big Data Expert Certification

Edureka’s Big Data Expert Certificate Holders work at 1000s of companies like

Big Data Hadoop Course Projects

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 will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

CloudLab is a cloud-based Hadoop and Spark environment that Edureka offers with the Hadoop Training course where you can execute all the in-class demos and work on real-life Big Data Hadoop projects in a fluent manner.
 
This will not only save you from the trouble of installing and maintaining Hadoop or Spark on a virtual machine, but will also provide you an experience of a real Big Data and Hadoop production cluster.
 
You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24x7.

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

Edureka’s Big Data & Hadoop Training includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Big Data roles & Hadoop jobs.

 

Project #1:

Industry: Stock Market

Problem Statement

TickStocks, a small stock trading organization, wants to build a Stock Performance System. You have been tasked to create a solution to predict good and bad stocks based on their history. You also have to build a customized product to handle complex queries such as calculating the covariance between the stocks for each month.

 

Project #2:

Industry: Health-Care

Problem statement

MobiHeal is a mobile health organization that captures patient’s physical activities, by attaching various sensors on different body parts. These sensors measure the motion of diverse body parts like acceleration, the rate of turn, magnetic field orientation, etc. You have to build a system for effectively deriving information about the motion of different body parts like chest, ankle, etc.

 

Project #3:

Industry: Social Media

Problem Statement:

Socio-Impact is a social media marketing company which wants to expand its business. They want to find the websites which have a low rank web page. You have been tasked to find the low-rated links based on the user comments, likes etc. 

 

Project #4:

Industry: Retail

Problem Statement:

A retail company wants to enhance their customer experience by analyzing the customer reviews for different products. So that, they can inform the corresponding vendors and manufacturers about the product defects and shortcomings. You have been tasked to analyze the complaints filed under each product & the total number of complaints filed based on the geography, type of product, etc. You also have to figure out the complaints which have no timely response.

 

Project #5:

Industry: Tourism

Problem Statement:

A new company in the travel domain wants to start their business efficiently, i.e. high profit for low TCO. They want to analyze & find the most frequent & popular tourism destinations for their business. You have been tasked to analyze top tourism destinations that people frequently travel & top locations from where most of the tourism trips start. They also want you to analyze & find the destinations with costly tourism packages.

 

Project #6:

Industry: Aviation

Problem Statement:

A new airline company wants to start their business efficiently. They are trying to figure out the possible market and their competitors. You have been tasked to analyze & find the most active airports with maximum number of flyers. You also have to analyze the most popular sources & destinations, with the airline companies operating between them.

 

Project #7:

Industry: Banking and Finance

Problem Statement:

A finance company wants to evaluate their users, on the basis of loans they have taken. They have hired you to find the number of cases per location and categorize the count with respect to the reason for taking a loan. Next, they have also tasked you to display their average risk score.

 

Project #8:

Industry: Media & Entertainment

Problem Statement: 

A new company in Media and Entertainment domain wants to outsource movie ratings & reviews. They want to know the frequent users who is giving review and rating consistently for most of the movies. You have to analyze different users, based on which user has rated the most number of movies, their occupations & their age-group. 

Big Data Hadoop and Spark Online Training by Edureka

Testimonial Reviews

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Lab is great and life long course material is available and even the updated versions is made available. Good amount of course material, curriculum plan and well trained instructors along with 24/7 support. Especially the call timing which is designed to suit working people is simply great.

Sridevi Rajendiran
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It's really a nice platform. I learned many things and will recommend this to all others who want to learn.

Sandeep
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Great learning and assistance with edureka. highly recommended

Mohit Rawat
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Its a great course to get started with. The support team is exceptional to work with and having them 24*7 is a huge plus. Anupama was really helpful in getting my issues sorted.

Shruthi Rani
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Excellent communication skill and good at technical and also interactive

Dalveer

Big Data & Hadoop Training FAQs

Do you know attendance rate in all Edureka Live sessions is 83%?

 

You will never miss a class at Edureka. Your learning will be monitored by Edureka's Personal Learning Manager (PLM) and our Assured Learning Framework, which will ensure you attend all classes and get the learning and certification you deserve.

 

In case you are not able to attend any lecture, you can view the recorded session of the class in Edureka's Learning Management System(LMS). To make things better for you, we also provide the facility to attend the missed session in any other live batch. 

 

Now you see why we say we are "Ridiculously Committed!

More than 70% of Edureka Learners have reported change in job profile (promotion), work location (onsite), lateral transfers & new job offers. Edureka's certification is well recognized in the IT industry as it is a testament to the intensive and practical learning you have gone through and the real life projects you have delivered.

If you have seen any of our sample class recordings, you don't need to look further. Enrollment is a commitment between you and us where you promise to be a good learner and we promise to provide you the best ecosystem possible for learning. Our sessions are a significant part of your learning, standing on the pillars of learned and helpful instructors, dedicated Personal Learning Managers and interactions with your peers.

 

So experience complete learning instead of a demo session. In any case, you are covered by Edureka Guarantee, our No questions asked, 100% refund policy.

Our instructors are expert professionals with more than 10 years of experience, selected after a stringent process. Besides technology expertise, we look for passion and joy for teaching in our Instructors. After shortlisting, they undergo a 3 months long training program.

All instructors are reviewed by learners for every session they take, and they have to keep a consistent rating above 4.5+ to be a part of Edureka Faculty.

Diamonds are forever, and so is our support to you. The more queries you come up with, more happy we are, as it is a strong indication of your effort to learn. Our Instructors will answer all your queries during classes, PLMs will be available to resolve any functional or technical query and we will even go to lengths of solving your doubts via screen sharing. If you are committed to learn, we are Ridiculously Committed to make you learn.

Edureka’s Big Data Hadoop Certification training is meant to help you learn and master the entire hadoop ecosystem. With our industry relevant course catalog, we make sure that the learning is in line with how the technology is being used in the market today. We also have real-time projects for our learners to work on for better hands-on. With our cloud lab implementation, we provide the perfect environment for all learners to gain as much practical experience possible.  

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, Edureka offers a complimentary self-paced course on "Java essentials for Hadoop" when you enroll for the Big Data and Hadoop Course.

Hadoop developers are in great demand in the IT sector of the US. Depending on the experience and the expertise you bring to the table, the average salary can range from $120,000/- to $180,000/-

Learning pedagogy has evolved a lot with the advent of technology. These changes and advancements have made it possible to increase your efficiency while you learn. While the traditional classroom based training has proven to be successful, with online learning learners have flexibility in terms of schedule. Apart from this, they can visit the study material anytime from anywhere and brush up on concepts with ease. Learning does not stop once the classes are over, which is why we also provide a 24x7 support system to help you with your doubts even after your class ends.

Edureka’s Hadoop certification training will help you master the concepts and practical implementation of the technology in 1 months time. With dedicated resources and a never-back-down attitude, you can master the technology in one month.

First step is always the most important and the hardest one to take. We understand that before you are serious enough about getting certified, you need to know more about the technology. Our Youtube channel and blogs have a lot of tutorials on the Hadoop ecosystem. These tutorials is all you need to get your basics cleared and get started with Hadoop.

Edureka’s Big Data Hadoop Certification training is meant to help you learn and master the entire hadoop ecosystem. With our industry relevant course catalog, we make sure that the learning is in line with how the technology is being used in the market today. We also have real-time projects for our learners to work on for better hands-on. With our cloud lab implementation, we provide the perfect environment for all learners to gain as much practical experience possible.  

Big Data Hadoop and Spark Online Training by Edureka