Big Data Course Training | Hadoop, Spark, Hive & Data Analytics

What you'll learn

Master the fundamentals and advanced concepts of Big Data to handle, process, and analyze massive datasets efficiently. This course provides hands-on experience with industry-leading tools and frameworks such as Apache Hadoop, Apache Spark, and Apache Hive.

You will learn how to work with distributed systems, perform large-scale data processing, and build scalable data pipelines. The course covers real-world use cases, data ingestion, storage, processing, and visualization techniques to help you extract valuable insights from complex datasets.

By the end of this course, you will be equipped with practical skills in data engineering and analytics, enabling you to solve business problems using modern Big Data technologies and tools.

Understand the fundamentals of Big Data
Learn how to work with distributed storage systems like Apache Hadoop.
Process large-scale datasets efficiently using Apache Spark.
Perform data querying and analysis using tools like Apache Hive.
Build scalable data pipelines for real-time and batch processing.
Gain hands-on experience with real-world Big Data projects and use cases.
Apply Big Data techniques to solve business problems and support data-driven decision making.

Course Content

Python Introduction & Setup

About Python
How to Python Work
Python setup & environment
Python Virtual Machine
Installing Python (Anaconda / Standard)
Running Python scripts

Python Basics

Python Output/print function
Syntax, Comments
Variables, Data Types, Built in Data Types
Type Casting & Type Checking
Python Literal, Operators, Keywords and Identifiers, User Input

Python Control Flow

If, Elif, Else
Nested Conditions
Loops (For, While)
Break, Continue, Pass
Comprehensions

Data Structures

String : String indexing, String slicing, Edit and delete a string, Operations on String, Common String functions
List : Create and access a add items, Edit items in a list, Deleting items from a list, Arithmetic, membership and loop operations on a List, Various List functions, List comprehension, Zip() function
Tuple : Create and access a tuple, Can we edit and add items to a tuple?, Deletion, Operations on tuple, Tuple functions, List vs tuple, Tuple unpacking, Zip () on tuple
Set : Create and access a set, Can we edit and add items to a set?, Deletion, Operations on set, set functions, Frozen set (immutable set), Set comprehension
Dictionary : Create dictionary, Accessing items, Add, remove, edit key-value pairs, Operations on dictionary, Dictionary functions, Nested comprehension

Functions