Big Data Engineer Master’s Program Certification

1.650,00 EUR

  • 132 hours
eLearning
Blended Learning
Live Virtual Classroom

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.

Key Features

6 months online bootcamp and eLearning (self-paced)

Industry-recognized certificates from IBM (for IBM courses)

Lifetime access to self-paced learning and class recordings

35 hours of self-paced learning

132 hours of instructor-led training

Masterclasses, Exclusive Mentoring Sessions, and Hackathons by IBM

Real-life projects providing hands-on industry training

30+ in-demand skills

Learning Outcomes

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

Hadoop Ecosystem

Gain an in-depth understanding of the flexible and versatile frameworks in the Hadoop ecosystem, such as Pig, Hive, Impala, HBase, Sqoop, Flume, and Yarn

Master tools and skills

such as data model creation, database interfaces, advanced architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka architecture

Understand how to model data

Perform ingestion, replicate data, and shard data using the NoSQL database management system MongoDB

Analytics infrastructure

Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components

Improve business

Achieve insights on how to improve business productivity by processing big data on platforms that can handle its volume, velocity, variety, and veracity

Learn Kafka

Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect

Amazon EMR

Understand how to use Amazon EMR for processing data using Hadoop ecosystem tools

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

Who Should Enroll in this Program?

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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