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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%
Higher Salary

as per Naukri database

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7 Day Exchange Policy

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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