I’m Interested in This Program

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  • This course includes
  • - 80 hours of live classroom
  • - 200 Hours of Industry Cases & Projects
  • - 24 X 7 Coding Support
  • - Gamified Learning
  • - Lifelong Access to Course Material
  • - International Certification
  • - Job Assistance

ONLINE COURSE FEES
749

Big Data Hadoop & Spark Developer Course

Course Overview

4.7(330)

  • Intensive 4-month Program
  • Collaborative Assignments with Mentors
  • Master Popular Big Data Technologies
  • Learn Tools like Hadoop and Spark
  • DURATION 16 Weeks
    EFFORT 10-15 Hrs/Week
    CAREERS Big Data Scientists, Big Data Analyst, Big Data Solutions Architect, Big Data Engineer, Big Data Researcher

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    Why You Should Take This Course

    Increasing Availability of Data

    By 2020, every human being will create around 1.7 MB of data per second,

    Large-Scale Use of Data for Decisions

    Around 85% of companies are using data to make key business and organizational decisions.

    Huge Spending on Big Data

    The spending on big data technology is expected to be reach $ 210 billion by 2020.

    How this course can transform your Career

    Acadgild Experience

    Orientation

    Getting you up to speed

    Intial Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Second Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Final Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Corporate Partners

    What You Will Learn in This Course

    • Cluster setup for processing Big Data on your own computer.
    • Core concepts behind big data problems, applications, and systems.
    • Know to Manage big data and how Hadoop fits into this role.

    • Fundamentals of Java, Scala and Linux

    • Import and export data from traditional databases using Sqoop.
    • Import streaming data using Apache® Flume.
    • Workflow management for Hadoop using OOZIE.

    • Learn various MapReduce phases
    • Data processing methods for various file formats.
    • Pig & Hive
    • HBase NoSQL database

    • Kafka components & use cases
    • Producers and consumers
    • Kafka Streams, Features, Concepts, Architecture.

    • Get introduced to Apache Spark and get your Spark cluster running.
    • Spark DataFrames and RDD.
    • Analyze and process real world data sets with Spark SQL and Spark Streaming.
    • Regression, Clustering & Classification algorithms using Spark MLLib.

    Our Course in Comparison

    FEATURES acadgild logo OTHER VIRTUAL
    LIVE CLASSES
    SELF PACED
    COURSES
    Duration 16 Week 10-12 Weeks 4-6 Weeks
    Live Training Hours 80 40 -
    Total Coding Hours 200 100-120 40-50
    Projects acadgild logo acadgild logo acadgild logo
    Gamified Dashboard acadgild logo Rarely provided acadgild logo
    Lifetime Access to Dashboard acadgild logo acadgild logo acadgild logo
    24x7 Coding Support acadgild logo Rarely provided acadgild logo
    Job Assistance Program acadgild logo Rarely provided acadgild logo
    Portfolio Development acadgild logo acadgild logo acadgild logo
    Pricing 749 2000 - 5000 25 - 50

    FAQs

    The course is about big data and big data technologies. It teaches Hadoop, Map Reduce, Spark, Kafka, Apache Pig, Hive, and other programs. It will help you explore, analyze, and interpret different kinds of data.


    This course is for anyone interested in big data. It is ideal for aspiring Business Analysts from different backgrounds. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or data analytics.


    Hadoop and Spark require basic knowledge of Linux and Java, or any other object-oriented programming language. Having said that, the course covers the basics of these to ensure that those without any prior knowledge are brought up to speed before starting the sessions on Big Data.


    • Microsoft® Windows® 7/8/10 (32- or 64-bit).
    • 4GB RAM minimum, 8 GB RAM (recommended).
    • Intel Core i3 or higher processor.
    • Internet speed: Minimum 1 Mb/s.
    • Intel® VT-x (Virtualization Technology) enabled.


    Data Scientists work with data according to business needs. They are responsible for data analysis. Big Data Developers design and implement programs that make the analysis possible.


    The course will take 10-15 hours of your time every week.


    Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.


    All sessions are recorded and uploaded to the course dashboard for you to access at your convenience.


    Our mentors are top-notch industry professionals with at least 5 years of experience. You will be taught by the best in all batches.


    You can view a recorded demo session in the Course Overview section. Alternately, you can sign up for a live demo there.


    Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.
    Candidates who fulfill the following criteria will be eligible for the program:
    • Scored 75% marks or above (resulting in a Platinum certificate) in the course.
    • Successfully completed at least 2 quality projects.
    • Scored 80% in all the mock technical interviews.
    • Was never found plagiarizing code.


    You can pay after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.


    Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected]
    The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.


    To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of AcadGild’s refund policy may be revised without prior notice. Please check websites for updates on this policy.


    You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.


    The Acadgild Gazette

    BIG DATA

    How Hadoop is Used in Organizations

    Some of the biggest organizations worldwide are using Hadoop, but do you know the History behind the creation of Hadoop framework? Did you know Hadoop came into being, inspired by Google’s GFS and MapReduce architecture? Want to know more? Our blog will tell you.

    BIG DATA

    Take Your Career Ahead with Big Data

    It is no secret that the big data jobs are one of the most lucrative jobs of the century. But how does the future look like for big data professionals? How much are big data professionals pad? Find out the answers in our blog.

    BIG DATA

    Importance of Big Data in the Banking Segment

    As Big Data is gradually spreading in wings in different domains, it has emerged as an integral contributor in the field of banking and finance. Find out more about this interesting development from our blog.

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