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Big Data Hadoop & Spark Developer

Big Data Hadoop & Spark Developer

$70 

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Course fees is Non-refundable

Course Highlights

  • 92 Modules & Sub-modules

  • 26 Hours of E-learning content, tests etc

  • Certification from Naukri Learning, Content aligned with most Certifying bodies

  • 400mn+ users & used by Professionals in 70% of Fortune 500 companies

4661+ Jobs

Earn 52%
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7 Day Exchange Policy

Good courses on e-learning page. I found this page on Big Data courses quite helpful. I was able to do a Big Data Engineering course. The curriculum of the course is helpful as it lets you understand your needs and the deliverables and make a wise decision.

Ashlesha Gupta -

Validity: 180 Days

Mode of learning: Online self study

Course Overview

What is this course about ?

  • Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

What are the course deliverables ?

  • Unlimited Access to Online Content for six months

  • Course Completion certificate - renowned globally

  • 400mn+ users, World's No 1 & trained 70% of Fortune 500 companies

  • Career boost for students and professionals

Who should do this course ?

  • Technical personnel with a background in Linux, SQL, and programming who intend to join a Hadoop Engineering team in roles such as Hadoop developer, data architect, or data engineer or roles related to technical project management, cluster operations, or data analysis

I am Interested

Curriculum (92 Chapters)

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    Reviews

    Average Rating

    4.5

    Based on 20 Ratings

    Write a Review

    Ajay Singh

    Nice Course

    A crisp list for users looking out of Big Data courses.

    Ashlesha Gupta

    Good Course, In-depth content

    Good courses on e-learning page. I found this page on Big Data courses quite helpful. I was able to do a Big Data Engineering course. The curriculum of the course is helpful as it lets you understand your needs and the deliverables and make a wise decision.

    Frequently Asked Questions

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    Is there a specific time within which I should complete my courses?
    Most of the courses have a specific validity period during which a course needs to be finished.
    Do I get a certificate on taking this course?
    For most courses, you will get a course completion certificate from our partner. This will be provided only on completion of course.
    Do I get a refund in case I do not like this course?
    We have 7 days exchange policy. Please send email to services@naukri.com in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
    How many courses can I take?
    As many as you want! You can plan your time and decide on any number of courses.
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