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Big Data Tools & Technologies Course

Big Data Tools & Technologies Course

Become a Certified Big Data Professional and learn how to manage, process, and analyze large-scale datasets using industry-leading Big Data tools and platforms like Hadoop, Spark, Kafka, and more. Designed to help you gain end-to-end knowledge from storage to visualization and cloud deployment.

Key Highlights

Live Training by Expert Industry Mentors

200+ Hours of Flexible, Self-Paced Learning

40+ Real-World Industry Projects to Practice

45+ Live Interactive Classes

About Big Data Course Overview

Welcome to India’s most trusted career-building platform for tech professionals.
This Big Data Certification Course is tailored to prepare you for the most in-demand data roles by teaching practical skills in storage, processing, querying, and cloud-scale analytics, enabling you to become job-ready in 6 months.

What Courses Will This Big Data Program Offer?

n this hands-on Big Data Certification Program, you’ll undergo 10+ in-depth modules, live projects, and guided case studies:

Course Curriculum

Course 1: Introduction to Big Data & Linux Essentials
Course 2: Hadoop HDFS & MapReduce Fundamentals
Course 3: Data Ingestion Using Apache Kafka & NiFi
Course 4: NoSQL with HBase, Cassandra & MongoDB
Course 5: Big Data Processing with Apache Spark
Course 6: Real-Time Data Streaming with Apache Flink & Storm
Course 7: Querying Big Data with Hive, Presto & Impala
Course 8: Data Visualization using Tableau & Power BI
Course 9: Deploying Big Data on AWS, Azure & GCP
Course 10: Big Data Capstone Project (Live Real-World Use Case)

What Skills Will You Master in This Course?

This course will prepare you for a successful Big Data career by covering key tools and skills:

Hadoop Ecosystem: Learn HDFS, YARN, MapReduce to build scalable systems
Apache Spark: Master in-memory computation for fast analytics
Kafka & NiFi: Real-time data ingestion and streaming
SQL & NoSQL Databases: Use Hive, HBase, MongoDB, Cassandra for structured & unstructured data
Apache Flink/Storm: Handle real-time and event-based analytics
Tableau & Power BI: Build dynamic dashboards for storytelling
Cloud Platforms: Work with AWS EMR, BigQuery, and Azure HDInsight
MLOps in Big Data: Understand data pipeline integration with ML models
Linux for Big Data: Work in Unix-based production environments

Why Pursue a Career in Big Data?

Big Data professionals are in high demand globally as companies leverage data for decision-making.
With booming adoption of analytics, cloud, and AI, Big Data skills unlock high-paying careers in banking, telecom, e-commerce, healthcare, and more.

What Does a Big Data Engineer Do?

Understand business requirements and design scalable data pipelines
Collect and ingest large-scale datasets using Kafka, NiFi
Store and process data using Hadoop, Spark, Flink
Write and optimize queries using SQL, Hive, or Presto
Build real-time dashboards and data products
Deploy data workflows on cloud or hybrid platforms
Ensure data reliability, scalability, and security

This course will help you become job-ready within 6–7 months with hands-on experience across tools and platforms.

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19+

19+ Skills Covered in This Course

Hadoop HDFS
MapReduce
Apache Spark
Apache Kafka
Apache NiFi
MongoDB
Hive / Presto / Impala
Apache Flink
Apache Storm
Tableau
Power BI
SQL
NoSQL Databases
Cloud Big Data Tools (AWS EMR, BigQuery, Azure)
Python Basics for Big Data
Linux Essentials
Data Pipeline Design
Real-Time Analytics

Companies That Believe in Our Alumni

150+

Hiring Partners

1000+

Career Transitions

70 to 80%

Average Salary Hike

20 Lakhs Highest Salary

Highest Salary

Why people choose DSIFD School for their career

I always wanted to work with large datasets but didn’t know where to start. This course gave me a clear understanding of Hadoop and Spark ecosystems. The real-world case studies made learning big data tools interesting and practical.

From setting up HDFS to running Spark jobs, this course covers everything in detail. The instructors explained complex big data concepts in an easy way. I now feel ready to apply for data engineer roles!

Big Data used to feel overwhelming for me. Thanks to this course, I now understand how to use tools like Hive and Pig for processing data. I’ve already used these skills to complete a freelance project for a startup

This course opened up new career opportunities for me. The practical labs and exercises helped me gain confidence in handling big data clusters. I’m excited to keep learning and grow as a big data developer.

Big Data Tools & Technologies Course

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