Big Data Engineer
Course Overview

The Big Data Engineer course is designed to provide you with a comprehensive understanding of big data engineering and its applications. You will learn about the various components of big data ecosystems, including data ingestion, storage, processing, and analytics. Through hands-on exercises and real-world projects, you will gain practical experience in working with big data tools and technologies such as Hadoop, Spark, and NoSQL databases. This course will prepare you for a successful career as a Big Data Engineer.

Big Data Engineer
Big Data Engineer Content

1.1 Overview of big data and its engineering challenges
1.2 Introduction to big data engineering concepts and tools
1.3 Big data engineering lifecycle and methodologies

2.1 Data storage technologies for big data (HDFS, Amazon S3, etc.)
2.2 Data retrieval techniques and indexing strategies
2.3 Data modeling and schema design for big data

3.1 Apache Hadoop and MapReduce
3.2 Apache Spark and Spark SQL
3.3 Apache Flink and stream processing

4.1 Batch and real-time data ingestion techniques
4.2 Data integration using ETL (Extract, Transform, Load) tools
4.3 Data streaming and event-driven architectures

5.1 Introduction to big data analytics and machine learning
5.2 Data preprocessing and feature engineering
5.3 Building and evaluating machine learning models on big data

6.1 Cluster computing and distributed systems
6.2 Scalability and fault-tolerance in big data architectures
6.3 Containerization and orchestration (Docker, Kubernetes)

7.1 Real-world projects that involve designing and implementing big data solutions using industry-standard tools and frameworks

    Big Data Engineer Projects

    Designing and implementing a scalable data processing pipeline using Apache Spark, Hadoop, and Kafka for large-scale data ingestion, transformation, and analysis.

    Building a real-time analytics platform using Apache Flink, Elasticsearch, and Kibana for processing and visualizing streaming data.

    Developing a recommendation engine using Apache Mahout, Apache Spark, and collaborative filtering techniques for personalized recommendations.

    Building a fraud detection system using Apache Hadoop, Spark, and machine learning algorithms to identify fraudulent activities in large-scale datasets.

    Implementing a distributed data processing system using Apache Storm, Apache Kafka, and NoSQL databases for real-time data processing and analysis.

    Big Data Hadoop Course Fee


    Online Classroom


    Corporate Training
    • 36 hours of instructor-led online training
    • Flexibility to choose classes
    All Our Programs Include

    This training course is designed to help you clear the Cloudera Spark and Hadoop Developer Certification (CCA175) exams.

    Real-world projects from industry experts

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Technical mentor support support

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Personal career coach and career services

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Flexible learning program

    With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

    Big Data Engineer Certification

    Student Reviews
    4.5   (1.2k)

    Get your most of the common queries resolved. While, these are initial and common queries, incase of anything more specific feel free to write to us @

    Yes, programming experience in languages like Java, Python, or Scala is recommended for this course.

    While prior knowledge of big data technologies is not required, familiarity with basic data concepts and database systems will be beneficial.

    Yes, this course is designed to cater to both beginners and experienced professionals. It starts with the basics and gradually progresses to advanced topics.

    The course covers various big data platforms and technologies, including Hadoop, Spark, and NoSQL databases, to provide you with a comprehensive understanding of the field.

    Yes, upon successful completion of the course requirements, you will receive a certificate of completion that demonstrates your proficiency as a Big Data Engineer.

    Yes, you will have lifetime access to the course materials, including videos, presentations, and code samples.

    Yes, you will have the opportunity to interact with the instructors through live sessions, discussion forums, and Q&A sessions.

    Yes, the course includes practice exercises and assessments to reinforce your learning and evaluate your progress.

    You can choose to work on the real-time projects individually or collaborate with other learners in a group, depending on your preference.

    While we cannot guarantee job placement, we offer job placement assistance, including resume building, interview preparation, and career guidance.

    Absolutely! The course is designed to provide you with practical skills that you can apply to real-world big data engineering projects.

    Yes, this course will provide you with the necessary knowledge and skills to prepare for industry-recognized certifications in big data engineering.

    Yes, the course materials are regularly updated to reflect the latest advancements and trends in the field of big data engineering.

    Yes, you can access the course materials from any device with an internet connection, including desktop computers, laptops, tablets, and smartphones.

    There are no specific prerequisites for enrolling in this course. However, a basic understanding of programming concepts and databases will be helpful.

    Yes, the course is designed to be flexible, allowing you to balance your studies with other commitments such as a full-time job.

    Yes, you will have access to a supportive community of learners through our online forums and discussion groups.

    We offer a refund within a specified period after the course starts. Please refer to our refund policy for more details.

    Yes, you can extend the course access by contacting our support team. Additional fees may apply.

    To enroll in the course, simply visit our website and follow the instructions for enrollment. If you have any questions or need assistance, our admissions team is available to help you through the enrollment process.

    Limitless learning,
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    Online courses open the opportunity for learning to almost anyone, regardless of their scheduling commitments.


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