Intermediate to Expert35 Days

Big Data Analytics

Massive-Scale Data Processing & Analytics

Master the complete Big Data ecosystem from foundational concepts to advanced analytics. Learn industry-standard tools like Hadoop, Spark, and Kafka to process, analyze, and derive insights from massive datasets across distributed computing environments.

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Big Data Analytics Course - Hadoop, Spark & Data Engineering
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Course Overview

Our comprehensive Big Data Analytics course covers the complete data engineering and analytics pipeline for processing massive datasets. You'll master distributed computing frameworks, real-time streaming, and advanced analytics techniques used by leading tech companies. The course includes 20 detailed modules covering industry-standard big data tools, platforms, and best practices for handling petabyte-scale data.

20
Modules
110
Total Sessions
70%
Hands-on Labs

Big Data Technology Stack

Storage & Processing

Hadoop, HDFS, MapReduce

Real-time Analytics

Spark, Kafka, Storm

NoSQL Databases

MongoDB, Cassandra, HBase

Visualization & BI

Tableau, Power BI, Elasticsearch

Course Key Highlights

Big Data Experts

Learn from certified data engineers and architects

Career Growth

100% placement support for data engineer roles

Distributed Systems

Master enterprise-scale data processing

Industry Tools

Master cutting-edge big data technologies

Great Value

Comprehensive big data training at competitive pricing

Flexible Timing

Multiple batch options to fit your schedule

Easy Financing

Zero-cost EMI options for easy enrollment

Complete Ecosystem

End-to-end big data pipeline mastery

Complete Big Data Analytics Syllabus

Comprehensive 23-module curriculum covering end-to-end big data analytics from fundamentals to advanced. Master Hadoop, Spark, machine learning, cloud platforms, and real-world analytics with hands-on projects.

1

Introduction to Big Data Analytics

Duration: 1 Week

Topics Covered:

Big Data fundamentals: Volume, Velocity, Variety, Veracity, Value
Big data vs traditional data analytics comparison
Big data ecosystem and technology landscape overview
Career opportunities and roles in big data analytics
Industry use cases and business impact
Data analytics lifecycle and methodologies
Big data challenges and solution approaches
Understanding data-driven decision making
Course ProgressModule 1 of 23
23
Modules
75
Days Duration
180+
Total Sessions
12+
Live Projects

Frequently Asked Questions

Course Features

LevelIntermediate/Expert
Class TypeVirtual & Hybrid
Duration35 Days
Lectures50
Labs/Projects60
Total Sessions110
CertificateYes
Daily Test1 daily Test
Weekly Test1 weekly Test
Mock Test5 mock Test

Additional Benefits:

Real-time Data Processing
Distributed Computing Mastery
Advanced Analytics Techniques
Data Lake Architecture
100% Placement Assistance
NoSQL Database Management
Data Visualization & BI
Cloud Big Data Platforms

Master Big Data Today!

Join our comprehensive 20-module Big Data Analytics program and become an expert in massive-scale data processing

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