Big Data Engineer Master’s Program Certification - eLearning

1.650,00 EUR

  • 132 hours
eLearning

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 extensive 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.

Learning Path

  1. Big Data for Data Engineering

    Course 1

  2. Big Data Hadoop and Spark Developer

    Course 2

  3. Pyspark Training

    Course 3

  4. Apache Kafka

    Course 4

  5. MongoDB Developer and Administrator

    Course 5

  6. AWS Technical Essentials

    Course 6

  7. AWS Big Data Certification Training

    Course 7

  8. Big Data Capstone Project

    Course 8

  9. Elective Courses

    Elective Course

Learning Outcomes

At the end of this Big Data Engineer Master´s Program, you will be able to:

Understand what big data is, the sources of big data, and real-life examples

Learn the critical difference between big data and data science

Master the usage of big data for operational analysis and better customer service

Gain knowledge of the ecosystem of big data and the Hadoop framework

Key Features

Industry-recognized certificates from IBM (for IBM courses)

Real-life projects providing hands-on industry training

30+ in-demand skills

Lifetime access to self-paced learning and class recordings. With 35 hours of self-paced training, and 132 hours of instructor-led training

Masterclasses, Exclusive Mentoring Sessions, and Hackathons by IBM

Who Should Enroll in this Program?

Target Audience:

A prominent data engineer builds and maintains data structures and architectures for data ingestion, processing, and deployment for large-scale, data-intensive applications. It’s a promising career for both new and experienced professionals with a passion for data, including:

IT Professionals

Beginners in the Data Engineering Domain

Banking and Finance Professionals

Students in UG/ PG programs

Database Administrators

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