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Innolead Consulting

Innolead Consulting

Big Data Engineer

Course Overview

This Big Data Engineer Master’s Program, in collaboration with IBM, provides training on the competitive skills required for a rewarding career in data engineering. You’ll learn to master the Hadoop big data framework, leverage the functionality of Apache Spark with Python, simplify data lines with Apache Kafka, and use the open-source database management tool MongoDB to store data in big data environments.

Course Outline:
Mandatory Modules
  • Big Data for Data Engineering
  • Big Data Hadoop and Spark Developer
  • PySpark Training Course
  • Apache Kafka
  • MongoDB Developer and Administrator
  • AWS Big Data Certification Training
  • Big Data Capstone
Duration:

10-12 Months (Part-Time) 0R 7-9 Months (Full-Time)

P15,422.40

  • Elective Modules
    • P
    • P
    Exams
    • 2544.75 P

Target Audience

  • IT Professionals
  • Banking and Finance Professionals
  • Database Administrators
  • Beginners in the Data Engineering
  • Students in the UG/PG Programme

Exam Structure

Aws Technical Essentials Certification Exam

In addition to the AWS  technical essentials Certification Exam, candidates complete the BIG DATA CAPSTONE project where they solve a real-world, industry-aligned big data problem. This project is the final step in the learning path and will enable one to showcase their expertise in the big data path.