Big Data with Hadoop & Spark Program
August 14, 2024 2025-06-24 15:35Big Data with Hadoop & Spark Program
Big Data Course | Hadoop, Spark Training with Certification India
Gain practical training with industry-standard technologies.
Focus on Apache Spark for efficient, real-time data analytics.
Develop skills to build and manage scalable data processing systems.
Prepare for roles such as Data Engineer, Big Data Analyst, and NoSQL Database Administrator.
Stay current with the latest big data technologies and best practices.
Master Big Data Technologies for Enterprise Solutions
Weekly sessions with industry professionals
Dedicated Learning Management Team
200 hours of hands-on learning experience
80 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 25+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Weekly sessions with industry professionals
Dedicated Learning Management Team
200 hours of hands-on learning experience
80 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 25+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Why Join Big Data with Hadoop & Spark Program?
Upcoming Batch:-
19th January 2025 (10pm to 1 am )
1st of February 2025 (10 pm to 1 am)
Big Data with Hadoop & Spark Program Overview
This program is specially designed to give a strong foundation to those who want to learn BigData. You will get a brief knowledge of HDFS Architecture, Spark, Flume, and Hive. After completing this course, you will be able to collect, organize, and extract unstructured data from large databases.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Batch Schedule
| Batch | Batch Type |
|---|---|
| Online Live Instructor Led Session | Full-Time |
| Online Live Instructor Led Session | Part-Time |
Regional Timings
| Region | Time |
|---|---|
| IST (India Standard Time) | 09:00 PM – 12:00 AM |
| Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM – 09:30 PM |
| UAE / Oman | 07:30 PM – 09:00 PM |
Talk to our Corporate training advisor
Big Data with Hadoop & Spark Program Objectives
The Program is focused on preparing you to effectively control and analyze large datasets. It deals with learning Java for programming mastering, understanding distributed data processing using Hadoop ecosystem and Apache Spark used to deliver real-time analytics as well as NoSQL databases such as MongoDB. By the end, participants will be prepared to apply these tools in building scalable big data solutions.
Why Learn Big Data with Hadoop & Spark Program?
Program Advantages
Gain expertise in essential big data tools: Java, Hadoop, Spark, and NoSQL databases.
Learn industry-relevant technologies for data processing and real-time analytics.
Master scalable solutions for managing and analyzing large datasets.
Build versatile skills in handling structured and unstructured data.
Enhance your career prospects with hands-on experience and in-demand skills.
Gain expertise in essential big data tools: Java, Hadoop, Spark, and NoSQL databases.
Learn industry-relevant technologies for data processing and real-time analytics.
Master scalable solutions for managing and analyzing large datasets.
Build versatile skills in handling structured and unstructured data.
Enhance your career prospects with hands-on experience and in-demand skills.
Big Data with Hadoop & Spark Program Certification
Big Data with Hadoop & Spark Program Learning Path/Curriculum
Module 01 - No-SQL
Lecture 02: Introduction, SQL vs NoSQL, Data Model, Data Types, Object ID, Data Type, Binary Data, Date, Null, Boolean, Integer, String
Lecture 03: Collection Methods, Queries, CRUD Operations (Insert, Find, Update, Delete), Validate, Bulk Write, Delete One
Module 02 - Java
Lecture 04: Introduction to Java, Installation, Syntax (main()/println()/print()), Variables (String, Int, Boolean, Float, Char), Data Types, Operators
Lecture 05: Conditions, Loops, Methods, Classes, File Handling
Module 03 - Introduction to Big Data & Hadoop
Lecture 06: Types of Data, Introduction to Big Data (History, V's of Big Data, Advantages & Disadvantages), Big Data Applications in Various Sectors, Introduction to Hadoop, Scaling (Horizontal and Vertical), Challenges in Scaling, Parallel Computing, Distributed Computing, Hadoop Tools Overview, Big Data Analytics Lifecycle
Lecture 07: On-Premises Installation of Oracle Virtual Box, Setup of VM & Ubuntu, Basic Linux Commands, Download and Installation of Hadoop, Introduction to Hadoop, Core Components of Hadoop, Hadoop Working Principles
Lecture 08: VM Creation on Cloud (Azure), Configuration & Insight into Single Node Hadoop Deployment (bsshrc, hadoop-env, core-site, hdfs-site, mapred-site, yarn-site), Format HDFS Namenode
Lecture 09: HDFS Architecture, Hadoop Commands and Implementation
Lecture 10: MapReduce, MapReduce Implementation
Lecture 11: Introduction to Hive, Hive Installation, Hive Implementation
Lecture 12: Hive Query Language, SQL Operations
Lecture 13: Hive SQL Operations
Module 04 - Spark
Lecture 14: Installation of Spark, PySpark, Introduction to Sqoop, Installation of Sqoop
Lecture 15: PySpark Queries, Installation of HBase, HBase Queries
Lecture 16: PIG Installation and Query
Lecture 17: PIG Query, Oozie
Lecture 18: Flume and Doubt Clearance
Lecture 19: Project Session
Big Data with Hadoop & Spark Program Skills Covered
Java Programming
Object-Oriented Programming
Data Warehousing
Hadoop Ecosystem Tools and Components
MapReduce Programming Model
Data Transformation
Data Mining
Spark Data Processing
Computational Framework
Problem Solving
NoSQL Database Management
Big Data with Hadoop & Spark Program Tools Covered
Big Data with Hadoop & Spark Program Program Benefits
Projects that you will Work On
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
We can apply for jobs in
Develop and perform big data solutions using Hadoop/Spark, NoSQL databases for massive datasets.
Analyze and interpret complex datasets to drive business insights.
Derive and communicate actionable insights from complex data sets to support decision-making.
Big Data Systems and Databases - Performance, reliability and security optimization work is crucial here
Collaborate with cross-functional teams, including data scientists and business analysts, to integrate and address data needs.
Debug and complete technical issues related to data processing, storage.
Companies Hiring for this course
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Course Fees & Financing
Course Fees
(50% OFF upto 31ˢᵗ March)
(Inclusive Of All Taxes)
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 5th April 2025 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 29th March 2025 | 02:00 PM | Part-Time |
Comparison with Others
| Aspect | Your Program | Other Programs |
|---|---|---|
| Primary Tools Covered | Java, Hadoop, Spark, NoSQL databases | Varies; may include tools like Python, SQL, or AWS |
| Focus Areas | Comprehensive big data technologies including real-time processing and NoSQL databases | May focus more on specific tools or less comprehensive coverage |
| Real-Time Data Processing | Emphasizes Apache Spark for real-time analytics | Not always covered in detail; may focus more on batch processing |
| Hands-On Experience | Extensive hands-on labs with industry-standard tools | Varies; some programs may have limited practical exercises |
| Career Opportunities | Data Engineer, Big Data Engineer, Hadoop Developer, Spark Developer, Big Data Analyst, NoSQL Database Administrator | May offer a narrower range of roles or less specialized training |
| Scalability and Integration | Covers building scalable solutions and integrating various big data tools | Some programs may not cover integration or scalability in depth |
| Industry-Relevance | Focuses on up-to-date technologies and best practices in big data | May lag behind in terms of the latest technology trends |
Self Assessments
Big Data with Hadoop & Spark Program Training Faqs
The Big Data with Hadoop & Spark Program teaches you to process and analyze large datasets using Hadoop and Spark, covering key tools like HDFS, MapReduce, and Spark SQL, with practical, hands-on projects. It’s perfect for those aiming to excel in big data roles.
Join the course to gain essential skills in big data technologies, including Hadoop and Spark, enabling you to handle large datasets, boost your career in data analytics, and tackle real-world challenges across industries.
1.Comprehensive Training: Covers Hadoop and Spark essentials.
2.Hands-On Projects: Real-world experience.
3.Industry-Relevant: Focuses on practical applications.
4.Expert Instructors: Learn from industry professionals.
5.Certification: Earn a recognized credential.
2.Hands-On Projects: Real-world experience.
3.Industry-Relevant: Focuses on practical applications.
4.Expert Instructors: Learn from industry professionals.
5.Certification: Earn a recognized credential.
To become proficient in evaluating vast, intricate information and to foster creativity and data-driven decision-making, we study big data and data science. These abilities are in great demand across many sectors, providing a wealth of employment options and chances for professional advancement in the data analytics industry.
Java programming, Object-oriented programming, Hadoop ecosystem tools and components, MapReduce programming model, Spark data processing and analytics, NoSQL database management with MongoDB
Java-06 Hrs, Hadoop-24 Hrs, Spark-15 Hrs, NoSql & Mongo DB-5 Hrs
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees(Exclusive of GST) : INR 59999INR
Fee(Inclusive of GST) :INR 70,799.00
USD $719(subject to be change).
Fee(Inclusive of GST) :INR 70,799.00
USD $719(subject to be change).
Big Data Engineer, Hadoop Developer, Spark Developer
Entry-level: 6-12 lakhs per annum
Mid-level: 12-20 lakhs per annum
Senior-level: 20+ lakhs per annum
Mid-level: 12-20 lakhs per annum
Senior-level: 20+ lakhs per annum
20+ Projects
Our courses offer practical, industry-relevant content, expert instructors, flexible learning options, and strong career support.
