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Essentials of Big Data

NQR Code:NG-05-IT-01427-2023-V1-NIELIT & Version 1
  • Old Code: NG-05-IT-01427-2023-V1-NIELIT & Version 1

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About this Qualification

Job Description

The "Essentials of Big Data" upskilling course offers a comprehensive exploration of fundamental concepts and technologies in the realm of big data. Participants delve into key components such as Hadoop, Spark, and distributed computing, gaining a profound understanding of how to manage and analyze vast datasets efficiently. Through hands-on exercises and real-world case studies, learners develop the skills necessary to harness the power of big data technologies, enabling them to extract valuable insights and make informed decisions. This course is ideal for professionals seeking to enhance their expertise in the dynamic field of big data, equipping them with the knowledge to navigate large-scale data challenges and contribute to innovative solutions in various industries. Throughout the program, participants engage with practical scenarios, implementing big data technologies to solve complex problems. The curriculum covers topics such as data storage, processing, and analysis, ensuring a well-rounded understanding of the tools and techniques essential for working with big data. By the course's conclusion, participants emerge with a solid foundation in big data essentials, positioning them to excel in roles that require proficiency in managing and extracting meaningful insights from massive datasets.

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
UG Pursuing No Experience None
PG Pursuing No Experience None

Progression Pathway

  • Big Data Analyst Business Intelligence Analyst Data Architect Data Analyst Big Data Consultant Big Data Developer

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Essentials of Big Data NIE/SSC/N1112 Mandatory 90 3 5