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ABOUT THIS COURSE
Edureka's Big Data Hadoop training course is curated by Hadoop industry experts, and covers in-depth knowledge of Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this instructor-led online Hadoop training, you'll work on real-life industry use cases in retail, social media, aviation, tourism, and finance using Edureka's cloud lab.
DESCRIPTION
ABOUT HADOOP TRAINING
Hadoop is an Apache project (ie open source software) for storing and processing Big Data. Hadoop stores Big Data in a distributed and fault-tolerant manner on commodity hardware. Hadoop tools are then used to perform data processing in parallel via HDFS (Hadoop Distributed File System). As organizations have realized the benefits of Big Data Analytics, there is a high demand for Big Data and Hadoop professionals. Companies are looking for Big data and Hadoop experts with knowledge of the Hadoop ecosystem and best practices on HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume. Edureka Hadoop Training is designed to make you a certified Big Data professional by providing you with rich hands-on training in the Hadoop Ecosystem.
WHAT ARE THE OBJECTIVES OF OUR BIG DATA HADOOP ONLINE COURSE?
Big Data Hadoop Certification Training is designed by industry experts to make you a certified Big Data professional. 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), and MapReduce Comprehensive knowledge of various tools found in the Hadoop Ecosystem such as Pig, Hive, Sqoop, Flume, Oozie, and HBase The ability to ingest data into HDFS using Sqoop & Flume, and analyze those large data sets stored in HDFS Exposure to many real world industry based projects to be run on Edureka's CloudLab Projects that are diverse in nature spanning various datasets from multiple domains such as banking, telecommunications, social media, insurance,
CHARACTERISTICS OF THIS COURSE
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Course language:English with English subtitles
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Created by:edureka!
CONTENTS OF THIS COURSE
UNDERSTANDING BIG DATA AND HADOOP. Learning Objectives: In this module, you will understand what Big Data is, the limitations of traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write and how MapReduce works. Topics: Introduction to Big Data Challenges and Big Data Preview Limitations and Workarounds of Big Data Hadoop Architecture and Characteristics Hadoop Ecosystem Hadoop 2.x Main Components Preview Hadoop Storage: Hadoop Distributed File System (HDFS) Hadoop Processing: MapReduce Framework Different Hadoop Distributions Get detailed syllabus delivered to your inbox Download Curriculum
HADOOP AND HDFS ARCHITECTURE. Learning Objectives: In this module, you will learn Hadoop Cluster Architecture, important Hadoop Cluster configuration files, Data Loading Techniques using Sqoop & Flume, and how to configure Single Node and Multi-Node Hadoop Cluster. Topics: Hadoop 2.x Cluster Architecture Preview Federation and High Availability Architecture Preview Typical Production Hadoop Cluster Hadoop Cluster Modes Hadoop Common Shell Commands Hadoop 2.x Preview Configuration Files Single Node Cluster and Multi-Node Cluster Configuration Basic Hadoop Administration. Click on the "go to course" button to learn more details at edureka!
HADOOP MAPREDUCE FRAMEWORK. Learning Objectives: In this module, you will comprehensively understand the Hadoop MapReduce framework, how MapReduce works on data stored in HDFS. You will also learn advanced MapReduce concepts like Input Splits, Combiner & Partitioner. Topics: Traditional Way vs MapReduce Way Why MapReduce Preview YARN Components YARN Architecture YARN MapReduce Architecture YARN Application Execution Flow Workflow MapReduce Program Preview Anatomy Input Splits, relationship between input splits and blocks HDFS MapReduce: Merge and Partition Healthcare Dataset Demo Weather Dataset Demo . Click on the "go to course" button to learn more details at edureka!
ADVANCED HADOOP MAP. Learning Objectives: In this module, you will learn advanced MapReduce concepts such as counters, distributed cache, MRunit, union reduce, custom input format, stream input format, and XML parsing. Topics: Counters Distributed Cache MRunit Reduce Join Preview Custom Input Format Preview Sequence Input Format XML File Parsing Using MapReduce . Click on the "go to course" button to learn more details at edureka!
Advantages
Outstanding advantages of edureka courses!
live instructors
Instructor-led sessions will address all your concerns in real time.
lifetime access
Unlimited access to the course's online learning repository.
Real cases
Develop a project with live accompaniment, based on any of the cases seen
Tasks
In each class you will have practical tasks that will help you apply the concepts taught.
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FAQs
About the virtual courses of edureka!
AulaPro is a portal that brings together a selection of the best online courses from different world-renowned platforms. One of them is edureka! AulaPro's function is to inform its users of the best alternatives available on the Internet, so that they can find different options in one place and make a decision within various possibilities. The objective is that the user finds the course of his interest and then clicks on the button that he will find on the page of the course in AulaPro, to be directed to the page of said course where he can obtain more information and if it is his decision , start your study on the platform that offers it. AulaPro is not responsible for any claim, complaint or suggestion, which may be sent through the channels provided by each E-Learning platform.
Remember that AulaPro is an information medium that curates the best online courses, available on different world-renowned platforms. For this reason, it is not responsible for any claim on the published courses, for which the user must always resort to the channels available for each E-learning platform to submit requests, complaints or claims.
In the case of edureka!, if you are subscribed to one of its courses, a three (3) day money back guarantee is offered with no questions asked on all courses. The refund must be claimed within 3 days of registration. It will always be the user's responsibility to review the service conditions of the platform that offers the course of interest and its latest provisions.
Once you are registered on the platform edureka! To obtain a Certificate for one of their courses, you will have access to all the course resources: videos, quizzes and programming tasks (when the course is designed that way). edureka! It offers a personalized follow-up with live instructors who clear up doubts, and generally the courses will have specific start dates.
That's how it is! the courses you take at edureka! they are completely online, you do not need to go anywhere at any time. From your home, wherever you are, you can educate yourself with the most professional instructors, who will be in constant contact to help you complete your study. In fact, edureka! It has one of the highest course completion rates among the platforms, so you will have a better chance of meeting your goal. You can access your lessons, readings and homework at any time and anywhere through the Internet, from your laptop, tablet or mobile device, thanks to edureka! It has an app for both Android and IOS.
Doesn't sound great!
All edureka instructors are industry professionals with a minimum of 10-12 years of relevant IT experience. They are experts in each subject covered by the course and are trained by edureka to provide a high-level learning experience for students.
Something outstanding about taking a course with edureka! is that you not only have access to all the material and contents of it for life, but also to the support team, which will be available 24 hours a day, 7 days a week. The team will help you resolve queries, during and after the course.
METHODOLOGY
LEVEL OF STUDY
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COURSE DETAILS
- DELIVERY SCHEDULE: Live online classes, accompanied by instructor
- ACCESS TIME Lifetime access to the course (and updates)
KEY ASPECTS OF THIS STUDY
- The average Big Data Hadoop developer salary is $135,000 (salary data from Indeed.com)
- Hadoop is popular with many leading multinational companies including Honeywell, Marks & Spencer, Royal Bank of Scotland and British Airways
- Worldwide revenue for Big Data and Business Analytics solutions will reach $260 billion in 2022 with a CAGR of 11.9% according to International Data Corporation (IDC)
Who develops this course?
edureka!
Bengaluru, India
The goal of edureka! is to create an alternative platform for students who want to continue and complete courses through live online courses, using a team of ridiculously committed educators who will stop at nothing to deliver education, aided by a 24x7 support system . By deploying our team of world-class industry experts. With a methodology of live classes and practically personalized instructors, edureka! seeks to educate our students with the skills they need to advance their professional life to the next level.
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