Big Data • Hands-on • Job-ready

Big Data Analytics Training in Kochi

8-months hands-on program covering Python, Django, Hadoop, Spark, AWS & placement support.

View Syllabus
Big Data Analytics Training

Regular Course Modules

W

Web Concepts & Development Fundamentals

  • •HTML, CSS, Bootstrap, Forms and Parameters
  • •JavaScript basics, jQuery, SQL, MySQL
  • •Git, Linux commands, Shell scripting
P

Python Basics & Django

  • •Python syntax, data types, control flow, functions, OOP
  • •Django MVC/MVT, project setup, templates, RESTful APIs
  • •Sessions, cookies, JSON responses, admin interface
B

Big Data Basics (HDFS + MapReduce)

  • •Hadoop ecosystem and architecture
  • •MapReduce framework, YARN components
  • •HDFS components and operations
B

Big Data with Spark

  • •RDD, DataFrames, Spark architecture
  • •Transformations, actions, caching, partitioning
  • •Spark scheduling, memory management
C

Cloud Computing & AWS Basics

  • •AWS regions and infrastructure
  • •EC2, VPC, IAM roles and policies
  • •CloudFormation, CloudWatch, and backups

Advanced Course Modules

A

Advanced Web Concepts

  • •Stateful/stateless services
  • •Microservices (Nameko, Flask, FastAPI)
  • •REST and cookies/headers
A

Advanced Python

  • •File handling (CSV, XML, JSON, Images)
  • •Exception handling, multithreading, multiprocessing
  • •Decorators, generators, and advanced OOP
H

Hadoop Advanced

  • •Sqoop for data import/export
  • •Hive architecture & SQL
  • •HBase operations and API usage
B

Big Data 2.0 Advanced

  • •Recommendation engine design
  • •Orchestration: Airflow, Oozie
  • •Messaging: Kafka, RabbitMQ
S

Spark Advanced - Streaming & MLlib

  • •Spark streaming (DStreams, Structured Streaming)
  • •MLlib for regression, classification, and pipelines
  • •Model evaluation and feature engineering
A

AWS Advanced & MLOps

  • •Load balancing, Auto Scaling, DynamoDB
  • •EMR, SageMaker, Elastic Beanstalk, Containers
  • •ML lifecycle tools: MLflow, Bedrock
S

Snowflake + Airflow

  • •Snowflake warehouse and bulk loading
  • •Cloud integration (S3 with Snowpipe)
  • •Airflow pipeline automation
D

Databricks

  • •Databricks UI & cluster setup
  • •ETL and visualization pipelines
  • •PowerBI integration with Databricks SQL Warehouse

Ready to Start Your Big Data Journey?

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