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Big Data Course in Aurangabad

Big Data Course in Aurangabad
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    Instructor-led Big Data and Hadoop live online Training Schedule

    Why enroll for Big Data Hadoop Course in Aurangabad?

    pay scale by Edureka courseThe average salary of Big Data Hadoop Developers is $135,000 (Indeed.com salary data)
    IndustriesMcKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts
    Average Salary growth by Edureka courseThe Hadoop Big Data analytics market is projected to grow to USD 40.69 Billion by 2021 - MarketsandMarkets

    Training Benefits in Aurangabad

    The Big Data analytics market was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030 at a CAGR of 13.5% in the 2021-2030 period. Big Data Hadoop training will help you get in-depth knowledge and career growth.
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    Why Big Data Hadoop Course from edureka in Aurangabad

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your Big Data Hadoop Course

    Skills Covered in Aurangabad

    • skillWorking with HDFS
    • skillBatch Processing using MapReduce
    • skillData Analysis using Pig
    • skillQuerying Big Data using Hive and HBase
    • skillReal-time Data Processing with Spark
    • skillWorkflow Scheduling using Oozie

    Tools Covered in Aurangabad

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    Big Data Hadoop Certification Curriculum in Aurangabad

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM
    At Edureka's Big Data Course in Aurangabad, you'll learn about the Hadoop Ecosystem. It is a Hadoop training in Aurangabad that provides live classes led by experienced instructors who assist students in understanding the core notions of Hadoop, which include HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume, and Sqoop. The Edureka's Hadoop course in Aurangabad will help you comprehend the idea of "big data" and why it is different from the standard approach to solving Big Data issues using their solutions and many other options. Edureka's Hadoop Classes in Aurangabad will also offer a range of real-time projects based on industry standards that allows you to increase your abilities by utilizing the latest standards in the industry. This Big data training in Aurangabad will prepare you for future Big Data roles and Hadoop jobs.

    Understanding Big Data and Hadoop

    8 Topics

    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 Distribution

    skillHands-on:

    • HDFS commands

    skillSkill You will Learn

    • Hadoop Ecosytem
    • MapReduce Framework

    Hadoop Architecture and HDFS

    8 Topics

    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

    skillHands-on:

    • Managing Hadoop Config Files

    skillSkill You will Learn

    • Working on Distributed Storage
    • Configuring Hadoop 2.x

    Hadoop MapReduce Framework

    9 Topics

    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

    skillHands-on:

    • Writing MR program
    • Demo of Health Care Dataset
    • Demo of Weather Dataset

    skillSkills You will Learn

    • Perform Batch Data Processing

    Advanced Hadoop MapReduce

    6 Topics

    Topics:

    • Counters
    • Distributed Cache
    • MRunit
    • Reduce Join
    • Custom Input Format
    • Sequence Input Format

    skillHands-on:

    • MR program with Combiner
    • MR program with Partitioner
    • Demo on MR Join
    • MR code with Distributed Cache
    • XML file Parsing using MapReduce

    skillSkills You will Learn

    • Implement MR Combiner & Partitioner

    Apache Pig

    4 Topics

    Topics:

    • Introduction to Apache Pig
    • MapReduce vs Pig
    • Pig Components & Pig Execution
    • Pig Data Types & Data Models in Pig

    skillHands-on:

    • Grunt Shell Commands
    • Pig UDF & Streaming
    • Testing Pig scripts with Punit
    • Aviation use-case in PIG
    • Demo of Healthcare Dataset

    skillSkills You will Learn

    • Working with Pig Scripts
    • Creating UDF

    Apache Hive

    9 Topics

    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

    skillHands-on:

    • Hive Tables
    • Hive Partition & Bucketing
    • Importing Data
    • Querying Data & Managing Outputs
    • Hive Script
    • Retail use case in Hive
    • Hive Demo on Healthcare Dataset

    skillSkills You will Learn

    • Creating HIVE tables
    • Working with HQL

    Advanced Apache Hive and HBase

    12 Topics

    Topics:

    • Hive QL: Joining Tables, Dynamic Partitioning
    • Custom MapReduce Scripts
    • Hive Indexes and views
    • Hive Query Optimizers
    • 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

    skillHands-on:

    • Joins in Hive
    • Writing UDF in Hive
    • Hive Thrift Server
    • HBase Shell Commands
    • Creating Indexes & Views in Hive

    skillSkills You will Learn

    • Query Optimization
    • Working with NoSQL

    Advanced Apache HBase

    7 Topics

    Topics:

    • HBase Data Model
    • HBase Shell
    • Hive Data Loading Techniques
    • Apache Zookeeper Introduction
    • ZooKeeper Data Model
    • Zookeeper Service
    • HBase Filters

    skillHands-on:

    • HBase Client API
    • HBase Bulk Loading
    • Using different HBase Filters
    • Inserting & Retrieving Data

    skillSkills You will Learn

    • Performing CRUD operations
    • Data Loading
    • Data Filtering

    Processing Distributed Data with Apache Spark

    7 Topics

    Topics:

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

    skillHands-on:

    • Scala programs
    • Creating RDDs
    • Writing Spark Programs
    • Spark Shell

    skillSkills You will Learn

    • Writing Scala Programs
    • Real-time data processing

    Oozie and Hadoop Project

    8 Topics

    Topics:

    • Oozie
    • Oozie Components
    • Oozie Workflow
    • Scheduling Jobs with Oozie Scheduler
    • Oozie Coordinator
    • Oozie Web Console
    • Oozie for MapReduce
    • Hive in Oozie

    skillHands-on:

    • Creating workflows using Oozie
    • Scheduling jobs using Oozie
    • Hadoop Talend Integration
    • Writing Hive Script in Oozie
    • Data Loading using Sqoop
    • Data Loading using Flume

    skillSkills You will Learn

    • Scheduling Hadoop Jobs
    • Creating Workflows

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    Big Data Hadoop Training in Aurangabad Description

    Edureka's Big Data Course in Aurangabad will help you learn all you need to be aware of Hadoop architecture, HDFS, Advanced Hadoop MapReduce framework, Apache Pig, Apache Hive, and a host of others. This online Hadoop Classes in Aurangabad aims to assist learners in comprehending how Hadoop works, its intricate architecture, and its various components. Its Big Data training in Aurangabad will provide you with an extensive understanding of Big Data and Hadoop Ecosystem tools to aid you in passing an exam for the Hadoop certification exam. Find out details about the Big Data market, developing Big Data systems, commercial Hadoop applications, and applications for Big Data in business, technological advancements, HDFS, Hadoop ecosystem, Hive, and Pig. Hadoop training in Aurangabad is a live instructor-led course that will allow students to develop real-world applications relevant to Retail, Social Media, Aviation, Tourism, and Finance via Edureka's Cloud Lab.

    About the Online Big Data Course

    Hadoop is an Apache project (i.e., it is an open-source program) that processes and can manage Big Data. Hadoop is an open-source software program that can store Big Data in a distributed and fault-tolerant method over traditional hardware. Furthermore, Hadoop tools execute parallel data processing using HDFS (Hadoop Distributed File System).

    Businesses are beginning to reap the benefits of Big Data Analytics, so there is a huge demand for Big Data & Hadoop professionals. Companies are looking for big data experts and Hadoop experts who are aware of how to utilize this Hadoop Ecosystem and the best methods for HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume. Learn these methods with the following online Big Data Course in Aurangabad.

    Edureka's Hadoop Training in Aurangabad is designed to assist you in becoming a certified Big Data practitioner by offering comprehensive and practical training on how to use the Hadoop Ecosystem. It's a Hadoop certification, the first step in the Big Data journey. Once you've obtained it and have it, you'll be eligible to join various Big Data initiatives.

    What are the main goals of the Hadoop Course in Aurangabad?

    Experts developed a Hadoop Certification course to help students prepare to become certified Big Data practitioners. The Big Data course in Aurangabad 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 the 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 execute in Edureka's CloudLab
    • diverse Projects, 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.

    Why should you pick Big Data Hadoop Training in Aurangabad?

    Big Data is one of the most promising and fastest-growing areas when you consider the most recent technologies being used to create an IT market. To make the most of the potential of these fields, you need a well-organized Hadoop training course that provides the most up-to-date training program that is in line with the needs of the moment and most effective methods.

    Besides a solid theoretical understanding, you need to work on various real-world big data projects using different Big Data and Hadoop tools as a part of a solution strategy.

    Additionally, it would be best if you had 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. All of which can be acquired from the Big Data Hadoop Course


    What skills will you learn with our Big Data training in Aurangabad ?

    It's a Hadoop certification in Aurangabad that can assist you in becoming a Big Data expert. It can help you increase your capabilities by equipping you with information about the Hadoop framework and the skills needed to manage business-oriented, real-time Big Data projects. Through your Big Data training in Aurangabad, you will be instructed by our highly experienced 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 solutions 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, that is, 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

     


    Who is the best candidate to attend a Big Data Course in Aurangabad?

    Demand for Big Data analytics has been increasing across the globe. This growth is likely to create the main reason for a massive demand for IT experts. Managers are looking for certified Big Data Hadoop professionals. These Big Data courses in Aurangabad help you take advantage of this opportunity to boost your professional career. This course is suitable for new and experienced professionals, particularly -

    • 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 overgrowing.


    How will Big Data training in Aurangabad help your career?

    These forecasts help understand the increasing quantity of Big Data:

    • Hadoop Market is predicted to be $99.31B in 2022. This will also be the average annual rate of 42.1 percent. (Forbes).
    • McKinsey estimates that in the year 2018, there will not be enough 1.5M experts in the field of statistics.
    • The median salary for Big Data Hadoop Developers is $97k.

    Companies are showing a keen enthusiasm for Big Data and are adopting Hadoop to analyze and store it. The demand for positions dealing specifically with Big Data and Hadoop is overgrowing. If you're keen on making the most out of this sector, it's the perfect moment to begin your journey with Edureka’s Big Data course in Aurangabad.


    Projects in Aurangabad

     certification projects

    Industry: Stock Market

    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....
     certification projects

    Industry: Health-Care

    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 di....
     certification projects

    Industry: Social Media

    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 t....
     certification projects

    Industry: Retail

    A retail company wants to enhance their customer experience by analysing the customer reviews for different products. So that, they can inform the corresponding vendors and manuf....
     certification projects

    Industry: Tourism

    A new company in the travel domain wants to start their business efficiently, i.e. high profit for low TCO. They want to analyse & find the most frequent & popular tourism destin....
     certification projects

    Industry: Aviation

    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 analyse & find t....
     certification projects

    Industry: Banking and Finance

    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....
     certification projects

    Industry: Media & Entertainment

    A new company in the Media and Entertainment domain wants to outsource movie ratings & reviews. They want to know the frequent users who are giving review and rating consistently....

    Big Data Expert Certification in Aurangabad

    Once you are through with the Big Data Hadoop Course provided by Edureka, you will be required to complete the CCA175 exam to get the Spark and Hadoop certificate from Cloudera.

    Once you are through with the Big Data Hadoop Course provided by Edureka, you will be required to complete the CCA175 exam to get the Spark and Hadoop certificate from Cloudera.
    No. The best part about Edureka’s Hadoop Certification is that it does not expire. However, the CCA certifications are valid for two years, and the CCP certifications are valid for three years.
    You can complete the Big Data course online certification training in 30 - 35 hours. Edureka also provides weekend batches for working professionals to upgrade their careers toward the Big Data Platform.
    Once you get the CCA 175 certification, you will be eligible for the following job roles:

    • Hadoop Developer
    • MIS Reporting Executive
    • Hadoop Admin
    • Hadoop Architect 
    • Data Scientist
    • Big Data Analyst
    You can take up the CCA175 exam from anywhere. You just require a computer, a webcam, Chrome or Chromium browser, and a good internet connection.
    Candidates can attempt the Hadoop Certification Exam as many times as they need to pass. They have to wait for 30 calendar days before retaking the exam.
    You will receive your score reports through email within 3 business days of your scheduled exam. You will receive the digital certificate and license number within five business days if you have cleared the exam.
    Candidates who do not clear the Hadoop certification exam must wait for 30 calendar days, beginning the day after the failed attempt. You may take the exam as many times as you want until you pass; however, you must pay for each attempt. Retakes are not allowed after the successful completion of a test.
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    The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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    Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.
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    Big data course in Aurangabad FAQs

    What happens if I don't attend a class in the Big Data Course?

    Are you aware that the average attendance rate at all Edureka Live sessions is 83%?
    There is no way to skip a class with Edureka. Your progress will be monitored by Edureka's Personnel Learning Manager (PLM) along with the insuring Learning Framework, which will ensure that you are completely engaged in every class. We will also provide you with all the necessary information and the certification you're entitled to after attending these Big Data courses in Aurangabad.
    If you're unable to attend a class, you can watch a recorded lecture that you missed while completing your Hadoop certification using Edureka's Learning Management System(LMS). To ease the burden of users of Edureka, we offer the possibility to take part in the class that is not taking part in each live lecture.
    It's evident that we are "Ridiculously dedicated!"

    Will I get assistance in my job after completing the Big Data training in Aurangabad?

    A large majority of Edureka students have reported improvement in their profiles (promotion) and work environment (onsite) or open positions and lateral transfer. This Edureka Big Data certification is highly sought-after in the IT sector due to its acknowledgement of the thorough and hands-on training you've received and the practical projects you've completed. Utilize Edureka's Online Hadoop Online classes in Aurangabad, and you'll have the opportunity to work for the most reliable businesses in India.

    Can I attend a Demo session before signing up this Hadoop Certification course?

    If you've seen the recorded sessions of the classes we offer, there is no reason to search further. The procedure for registering is that both you and we must sign a contract where you promise to be a great student and that we will offer you the most efficient learning environment. The training sessions are an essential component of your education that is based upon the expertise of experienced and knowledgeable teachers, devoted Personal Learning Managers, and the interactions you make with fellow students.
    You'll be able to be a part of the learning process, not just the demonstration. You'll be covered under the Edureka Warranty. Without questions asked, you are guaranteed 100% reimbursement.

    Who are the instructors at Edureka for this Big Data Course in Aurangabad?

    Our instructors are expert professionals with over ten years of experience, selected after a stringent process. An exhaustive selection process selects them. In addition to their technical expertise, We also search to find enthusiasm and passion for teaching among our instructors. When they are chosen and trained, instructors go through three months of the training program.
    Each instructor is assessed by students at each session they attend and must keep an unchanging score of 4.5+ to be a teacher in Edureka Faculty. Join us today for an introductory Big Data Hadoop training in Aurangabad and receive the top teachers in India.

    What if I have more queries after completing this Hadoop Training in Aurangabad?

    Diamonds are forever, and so is our support for you. The more queries you come up with, the happier we are, as it strongly indicates your effort to learn. Our Instructors will answer all your queries during classes, PLMs will be available to resolve any functional or technical question, and we will even solve your doubts via screen sharing. If you are committed to learning, we are committed to making you learn.

    How do I determine the most efficient method to learn Hadoop?

    Edureka's Big Data course in Aurangabad is designed to help learners understand the entire Hadoop ecosystem. With our industry-specific course list, we ensure that the knowledge you gain is pertinent to how technology is being used in the market today. Furthermore, we have existing project ideas that students can work on to understand the topic better. Our cloud lab will provide students with the most effective platform for the most immersive experience they can get.

    What are the prerequisites to learn Hadoop training in Aurangabad?

    There are no such prerequisites for Big Data 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 this Big Data course in Aurangabad.

    What is the average salary for Big Data Hadoop developers?

    Hadoop developers are in great demand in the IT sector of Aurangabad. Depending on the experience and the expertise you bring, the average salary can range from ₹4L to ₹13L in India.

    How can I find Cloudera certification exams?

    Cloudera's CCA 175 exam is essential. Cloudera CCA 175 exam requires that you have the following equipment: an Internet camera, a laptop, a browser like Chrome, and connectivity to the Internet. For a complete set of requirements, you can visit https://www.examslocal.com/ScheduleExam/Home/CompatibilityCheck

    Does my Cloudera certification expire?

    Yes. CCA certificates are valid for two years. CCP certificates can be valid for three years.

    Why should you study Hadoop online? How is it better than offline training?

    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 traditional classroom-based training has proven to be successful, learners have flexibility in schedule with online learning. They can also visit the study material anytime and brush up on concepts with ease. Learning does not stop once the classes are over, so we also provide a 24x7 support system to help you with your doubts even after your course ends. So join our Big Data Hadoop online training and learn Hadoop online.

    How long does it take to learn Hadoop?

    Edureka's Big Data Course in Aurangabad can assist you in mastering the basics and practical applications of this technology in just one month. If you have the right tools and a consistent method, you'll become proficient within a month.

    What is the best method for newcomers to get started with Hadoop?

    The first step is the most crucial and challenging to achieve. If you've decided to get certified and obtain your certification, it's vital to be aware of the latest technologies. The blog web page and YouTube channel offer a range of tutorials to help you benefit from the Hadoop ecosystem. These Hadoop tutorials will provide you with the information you need to understand the fundamentals before exploring Big Data and Hadoop.

    Why learn Hadoop? What are the advantages of learning Hadoop?

    Edureka's Big Data course in Aurangabad is designed to assist in understanding and mastering the entire Hadoop ecosystem. Our industry-specific Big Data course catalog ensures that your knowledge is pertinent to how the technology is utilized in the current market. There are also live-time assignments that students can take on for more interactive learning. Cloud lab integration allows us to provide the perfect learning environment for students to have the most hands-on experience.
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