PG Diploma Big Data Engineer • Kochi

Master Big Data Engineering

Comprehensive 8-month diploma program covering advanced data storage, Hadoop, PySpark, cloud computing, and more. Build real-world projects and launch your career.

~8 Months

Placement Support

Industry-Aligned

WhatsApp Us Why Expertzlab?

PG Diploma Big Data Engineer Training in Kochi

Program Length

~8 Months

Flexible schedules

Hands-on Focus

>70% Labs

Real-world projects

Certifications

Diploma + Projects

Industry recognized

Career Support

100% Placement Aid

Resume & Interviews

Detailed Curriculum

Progressive modules with theory, labs, projects, and assessments.

Advanced Data Storage Practices

2 Months

Data-intensive processing with SQL and No-SQL
Data models and Cypher query
Query languages: Cypher, Spar-QL, Datalog
Storage, retrieval, aggregation on No-SQL databases
Replication, partitioning, transactions, and distributed systems

Hadoop Based Programming

1.5 Months

Yarn components and configuration
Map Reduce programs in Python, SQL
Data load, CSV, JSON data processing
File structure, input splits, combiner
Hadoop Map Reduce, stream processing

PySpark

1 Month

Advanced uses of Spark using Python programming
Spark SQL, streaming, MLLib
Distributed computing with Hadoop, Spark

Cloud Computing

2 Weeks

AWS hosting, regions and zones, availability group, load balancing
Docker, Kubernetes, ESB, S3 Bucket, AMI security configuration, RDS, MongoDB
AWS cloud computing expert training

Data Pipelines & Orchestration

3 Weeks

Building ETL pipelines
Orchestration with Airflow
Real-time data ingestion
Monitoring and logging
Error handling in pipelines

Big Data Analytics

2 Weeks

Data visualization techniques
Statistical analysis on big data
Machine learning integration
Predictive modeling
Reporting and dashboards

Tools & Technologies

Master industry-standard tools for big data engineering.

Java Programming

Spring Micro Services

Hibernate

Hadoop

Spark

PySpark

AWS

Docker

Kubernetes

No-SQL Databases

SQL

Cypher

Spar-QL

Datalog

MongoDB

RDS

Airflow

Tableau

MLLib

Learning Outcomes

Configure and manage data-intensive applications
Write code for industry-required projects
Prepare for IT jobs as software developers with real project experience
Handle distributed systems, replication, and partitioning effectively
Implement stream processing and big data pipelines
Optimize cloud resources for big data workloads
Perform advanced analytics on large datasets

Data Management

SQL/NoSQL, distributed systems.

Processing Frameworks

Hadoop, Spark, PySpark.

Cloud Integration

AWS, Docker, Kubernetes.

Analytics & ML

Big data analytics, MLLib.

Admission Process

Join our next cohort with these simple steps.

1. Initial Consultation

Discuss your goals and fit.

2. Skill Assessment

Evaluate your current knowledge.

3. Enrollment & Onboarding

Start your learning journey.

FAQs

Who is this program for?

Aspiring big data engineers, software developers looking to specialize in data processing, and IT professionals seeking advanced skills in distributed systems.

What projects will I build?

Projects include implementing data pipelines with Hadoop and Spark, real-time stream processing applications, and cloud-based data storage solutions using AWS services.

Do you offer placement support?

Yes, we provide placement assistance through our network, resume building, and interview preparation.

Prerequisites

Basic programming knowledge is recommended. Prior experience with databases or Linux is helpful but not mandatory.

What makes this course unique?

Hands-on labs with real project simulations, certified trainers with 20+ years experience, and focus on industry-required skills.

Is there flexible scheduling?

Yes, we offer weekend and weekday batches to accommodate working professionals.

Ready to Become a Big Data Engineer?

Enroll now for hands-on training and career-boosting skills.