Big Data

Big Data refers to the vast amount of structured and unstructured data generated daily, and managing it requires specialized tools and technologies. This course provides comprehensive training in Big Data concepts, Hadoop ecosystem, Spark, and data processing techniques, preparing learners for careers in data analytics, engineering, and cloud computing.

Duration: Flexible

Fees: Contact us for details

Syllabus Highlights

Introduction to Big Data & Its Applications
Big Data Architecture & Ecosystem
Hadoop Framework & HDFS (Hadoop Distributed File System)
MapReduce Concepts & Programming
Apache Hive (Data Warehousing on Hadoop)
Apache Pig (Data Flow Scripts)
Apache Spark (Batch & Real-Time Data Processing)
Spark SQL & DataFrames
Streaming with Spark & Kafka
NoSQL Databases (MongoDB, Cassandra, HBase)
Data Ingestion Tools (Sqoop, Flume, Kafka)
Data Lake & Data Warehousing Concepts
Big Data on Cloud (AWS, Azure, GCP Overview)
Data Security & Governance in Big Data

Projects

Log Analysis using Hadoop
Real-Time Data Streaming with Kafka & Spark
Customer Behavior Analysis from E-commerce Data
Building a Data Lake on Cloud
End-to-End Big Data Analytics Project (Big Project)

Outcomes

Strong foundation in Big Data tools & technologies
Hands-on experience with Hadoop, Spark & NoSQL databases
Ability to manage, process & analyze massive datasets
Readiness for roles like Big Data Engineer, Data Analyst, Data Scientist, and Cloud Data Specialist