Radical Technologies
BIGDATA
★★★★★
(2,095 ratings)  50,000+ Student

HADOOP DEV + SPARK & SCALA

The solution for Big Data is built on open-source platforms and offers a comprehensive ETL data processing framework. It includes various tools for efficient data processing across distributed environments. Unlike SQL-based tools, it processes data without requiring centralized storage. This ensures scalability and flexibility in handling large datasets.

RT
Radical Technologies
50,000+ English 50 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

HADOOP DEV + SPARK & SCALA

IT Training Programme

Duration 50 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

16 sections covering the complete curriculum — a single, progressive learning arc.

50 hours
Training Duration
16
Core Modules
126
Total Lessons
4.8
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a BIGDATA role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

16 sections  •  126 lessons  •  50 hours

01 Big Data
• Distributed computing
• Data management – Industry challenges
• Overview of Big Data
• Characteristics of Big Data
• Types of data
• Sources of Big Data
• Big Data examples
• What is streaming data?
• Batch vs Streaming data processing
• Overview of Analytics
• Big data Hadoop opportunities
02 Hadoop
Why we need Hadoop
Data centers and Hadoop Cluster overview
Overview of Hadoop Daemons
Hadoop Cluster and Racks
Learning Linux required for Hadoop
Hadoop ecosystem tools overview
Understanding the Hadoop configurations and Installation
03 HDFS (Storage)
HDFS
HDFS Daemons – Namenode, Datanode, Secondary Namenode
Hadoop FS and Processing Environment’s UIs
Fault Tolerant
High Availability
Block Replication
How to read and write files
Hadoop FS shell commands
04 YARN (Hadoop Processing Framework)
YARN
YARN Daemons – Resource Manager, Node Manager, etc.
Job assignment & Execution flow
05 MapReduce using Java (Processing Data)
Introduction to MapReduce
MapReduce Architecture
Data flow in MapReduce
Difference Between Block and InputSplit
Role of RecordReader
Basic Configuration of MapReduce
MapReduce life cycle
How MapReduce Works
Writing and Executing Basic MapReduce Program using Java
Submission & Initialization of MapReduce Job
File Input/Output Formats in MapReduce Jobs (Text, Key Value, Sequence File, NLine Input Formats)
Joins (Map-side, Reducer-side Joins)
Word Count Example / Election Vote Count
Real-time MapReduce examples (5-10)
06 Apache Hive
Data warehouse basics
OLTP vs OLAP Concepts
Hive Architecture
Metastore DB and Metastore Service
Hive Query Language (HQL)
Managed and External Tables
Partitioning & Bucketing
Query Optimization
Hiveserver2 (Thrift server)
JDBC, ODBC connection to Hive
Hive Transactions
Hive UDFs
Working with Avro Schema and AVRO file format
Real-time datasets
07 Apache Pig
Apache Pig Overview
Advantage of Pig over MapReduce
Pig Latin (Scripting language for Pig)
Schema and Schema-less data in Pig
Structured and Semi-Structure data processing in Pig
Pig UDFs
HCatalog
Pig vs. Hive Use case
Hands-On examples of daily data analysis
08 HBASE (Real NoSQL)
Introduction to HBASE
Basic Configurations of HBASE
HBase Data Model (Table, Row, Column Family, Column Qualifier, Cell Versioning)
Categories of NoSQL Databases (Key-Value, Document, Column Family)
HBase Architecture (HMaster, Region Servers, Regions, MemStore, Store)
SQL vs. NOSQL
HDFS vs. HBase
Client-side buffering or bulk uploads
Designing Tables in HBase
HBase Operations (Get, Scan, Put, Delete)
Live Dataset
09 Sqoop
Sqoop Commands
Practical implementation of Sqoop
Importing data to HDFS & Hive
Exporting data to RDBMS
Sqoop connectors
10 Flume
Flume Commands
Source, Channel, and Sink configuration
Fan-out flume agents
Loading data from web server or storage into Hadoop
Loading streaming data from Twitter into HDFS
11 Oozie
Oozie Overview
Action Node and Control Flow Node
Designing Workflow Jobs
Scheduling time-based jobs with Oozie
Oozie Configuration file
12 Scala
Scala Syntax, Datatypes, Variables
Classes, Objects, Functional Objects
Control Structures, Functions, Closures
Inheritance, Traits, Packages, Imports
Lists, Collections, Abstract Members
Implicit Conversions and Parameters
Modular Programming
13 Spark
Spark Architecture and APIs
Spark components (Master, Driver, Executor, Worker)
Resilient Distributed Datasets (RDDs)
RDD Transformations and Actions
Loading data in Spark Shell
Spark application lifecycle and job scheduling
Persistence levels for RDD caching
Web UI and application monitoring
Spark SQL, SchemaRDD, DataFrames, Filtering, Sorting
Spark SQL program demo
14 Kafka With ZooKeeper
Kafka Overview and Cluster architecture
Kafka basic operations
Integration with Spark, Camel
Kafka with Spring Boot Integration
Security, Authentication
15 Apache Splunk
Introduction & Installing Splunk
Data ingestion and feeding
Searching & Reporting
Data Visualization
Advanced Splunk Concepts
16 Cassandra + MongoDB
Introduction to NoSQL (Data Types, CAP Theorem)
MongoDB Installation and CRUD Operations
JSON vs. XML
Cassandra Data Model, Architecture, Installation
Tables creation and schema in Cassandra
Cassandra Operations (Insert, Update, Delete, etc.)
Bulk file uploads, collections handling

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

126+
Hands-On Lessons
16
Core Modules
50 hours
Training Duration
100%
Practical Training

You don't just learn HADOOP DEV + SPARK & SCALA. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.8
★★★★★

Course Rating

★★★★★
85%
★★★★☆
12%
★★★☆☆
2%
★★☆☆☆
1%
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"This is the best training institute for BigData -Hadoop Training. The trainer has good and in-depth knowledge of Hadoop. All the topics was explained in-depth and concept wise. i suggeste to other student .... attende Antrixsh sir batch "
S Satisfied Student
A great course, phenomenal training & learning experience provided for Big Data and Hadoop, as conducted by Prince A. under the Radical Tech flag. …
S Satisfied Student
Antrixsh Sir is excellent trainer for hadoop. Always helps to solve queries.
S Satisfied Student
Attended curriculum on Big Data Hadoop by tutor Sanith Saha. His knowledge is outstanding and way of teaching & communication is fabulous. He repeats the topics as and when demanded by trainees.
S Satisfied Student
Currently I am taking Hadoop training from Redical Technologies that has conducted by Mr. Rahul Singh Sir.He has covered each and every concepts and cleared all the doubts with hands on practice and real time scenarios.Its a very excellence and great learning experience for me.
S Satisfied Student
for faculty Rahul Sir. I have joined Hadoop Course a month back having our mentor as Mr.Rahul Singh.Before joining the course, I have attended many free demos arranged by different institutes and decided to join Rahul Sir from Radical …
S Satisfied Student
Got good practical knowledge on Hadoop and Spark Development. Trainer is very cooperative and shares good knowledge on Bigdata.
S Satisfied Student
Hadoop training by Shanit sir was a very good experience. He is an excellent trainer having depth knowledge on it. There was always swift response for our bundle of queries :). …
S Satisfied Student
Hi friends, i join hadoop course in Radical technology under Rahul Sir and he is one of the best hadoop trainer. he explain each and every concepts with real time example, so its really easy to understand. He also provide online supports, …
S Satisfied Student
Hi, Few days back I have undergone training for Hadoop dev with Spark n Mapreduce from trai er Shanit Saha it was really good covered all concepts .Though I was new in this database concepts all topics were discussed very nicely.
S Satisfied Student
Hi...I joined Radical Technologies to learn Hadoop. I have completed my training under the guidance of Rahul Sir. He is a very good trainer and has a depth knowledge of Hadoop. He always explain each concept with real example. He teaches …
S Satisfied Student
I am currently pursuing the training of Hadoop under Rahul Sir. I must say that the course is designed in a very professional manner covering the interview questions , hands on exercises. Rahul sir even goes back to some topic if he finds …
S Satisfied Student
I am giving 5 *****.It was a great experience here. I joined Hadoop and big data course. I am very much thankful to my trainer Mr. Shanit Sir .The way of teaching is really good, focusing on clearing the basic and building the concept with …
S Satisfied Student
I am giving 5 stars . I joined hadoop and big data course under Mr. Prince Arora . Excellent teacher i have ever seen. good way of teaching covered all concepts. Best part was all sessions were mostly practical and live exp. was shared .Thanks Prince it was worth of my money .
S Satisfied Student
I am studying Hadoop from Mr. Rahul . Its study material is up-to mark and focus to all topics of Hadoop completely. One think is very good from Rahul side is that , If you have any doubt/confusion to any topic you can ask through …
S Satisfied Student
I am taking Hadoop sessions from Rahul Sir and very satisfied from the content covered and material provided during training. The techniques adopted by Rahul Sir during the sessions are the best. The assignments given for practice helps in better understanding of that particular topic. This is a great learning experience.
S Satisfied Student
I completed Hadoop development course at Radical under the mentorship of Shanit Saha. I must say he's a very skilled professional and emphasizes on understanding the basics very well. The best thing about his way of teaching is his …
S Satisfied Student
I completed Hadoop training from Radical Aundh Pune and it was a wonderful experience, trainer Shanit helped us by sharing his experience and industrial knowledge and also solved all our doubts.
S Satisfied Student
I completed my Hadoop under the guidance of Antrixsh Sir,his teaching is probably the best training one could get for sure. You don't only get to learn but you also get the Experience level training here.
S Satisfied Student
I did a Hadoop Big data course from Radical few months ago. Initially I was scared but in the end I am fully satisfied. I am here to express my heartfelt thanks to the faculty SHANIT sir who has imparted the sessions so nice, that today I …
S Satisfied Student
I did my hadoop course from radical pune aundh. The trainer shanit had good hands on experience on hadoop and worked for some of the most esteemed clients and it reflected in the way he teachead in classrooms. He performed all practicals in classroom. And cleared all the doubts we faced in or outside classroom.
S Satisfied Student
I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and …
S Satisfied Student
I have attended Big Data - Hadoop training from Radical. My trainer was Rahul Singh. He has a very good experience in Hadoop and related technologies. He is very supportive and always ready to solve queries any time even after completion of the course. Overall the training was very good. Thanks to Rahul.
S Satisfied Student
I have attended Big Data Hadoop training from Radical. My trainer was Rahul Singh, he has in depth knowledge of Hadoop and always available to answer the question related to technology. The content of the course was sufficient to gain the …
S Satisfied Student
I have attended Hadoop Development training at Radical Technologies, Pune . Its been a very nice learning experience, Ram sir has explained each and every topic with practical real world examples. He give more emphasis on core fundamentals …
S Satisfied Student

Frequently Asked Questions

15 questions about the HADOOP DEV + SPARK & SCALA course.

01 What is Big Data Hadoop, and why is training in this field important?
Big Data Hadoop is a framework for processing and analyzing large datasets. Training in this field is crucial for individuals aiming to harness the power of big data and advance their careers in analytics.
02 What Big Data Hadoop certifications do you offer, and how do they benefit my career?
We offer industry-recognized Big Data Hadoop certifications to validate your skills. These certifications enhance your resume, making you stand out to employers seeking qualified professionals.
03 Why choose Radical Technologies as the best Big Data Hadoop institute in Pune?
Radical Technologies is recognized for its state-of-the-art facilities, experienced faculty, and industry-aligned curriculum, making it the preferred choice for Big Data Hadoop training in Pune.
04 Can I attend Big Data Hadoop classes online, and how do they compare to in-person training?
Yes, we offer Big Data Hadoop classes online, providing the same curriculum as in-person classes. Online courses offer flexibility for learners who prefer remote access.
05 What Big Data Hadoop tutorials and resources are available to students?
We provide a variety of tutorials and learning resources, including guides, videos, and materials to support your understanding of Big Data Hadoop concepts and techniques.
06 What topics are covered in your Big Data Hadoop training programs?
Our training programs cover a range of topics, including Hadoop architecture, MapReduce, Hive, Pig, HBase, and other essential components of the Hadoop ecosystem.
07 How long does it take to complete the Big Data Hadoop training program?
The duration of our Big Data Hadoop training programs varies, with flexible scheduling options to accommodate different learning preferences and timeframes.
08 Are there any prerequisites for enrolling in your Big Data Hadoop courses?
While some courses may have specific prerequisites, many are suitable for beginners. Our admissions team can guide you on the right course based on your skill level.
09 Do you provide job placement assistance, and how does it work?
Yes, we offer job placement assistance, guaranteeing support for qualified candidates. Our industry connections and partnerships facilitate job placements for our graduates.
10 What career opportunities are available after completing your Big Data Hadoop training?
Our Big Data Hadoop training opens doors to various career opportunities, including roles such as Big Data Analyst, Hadoop Developer, and Data Engineers.
11 Can I pursue Big Data Hadoop training part-time while working?
Yes, we understand the importance of flexibility. We offer part-time Big Data Hadoop training options to accommodate individuals with work or other commitments.
12 Are there practical hands-on sessions as part of the Big Data Hadoop training?
Absolutely. Our training includes practical hands-on sessions to ensure that students gain real-world experience working with Big Data Hadoop tools.
13 How does your institute stay updated on the latest Big Data Hadoop industry trends?
Our curriculum is dynamic and evolves with industry trends. Faculty members actively engage with industry experts and stay informed about the latest advancements.
14 Is financial aid or scholarship available for Big Data Hadoop training?
Yes, we offer various financial aid options and scholarships. Contact our admissions team to discuss your eligibility and available opportunities.
15 Can I access course materials and resources after completing the Big Data Hadoop training?
Yes, graduates have continued access to course materials and resources to support ongoing learning and professional development.

HADOOP DEV + SPARK & SCALA Interview Questions

10 questions commonly asked in HADOOP DEV + SPARK & SCALA interviews.

  1. 01 Can you provide an overview of your experience working with Hadoop ecosystem technologies, including HDFS, MapReduce, YARN, and Hive?
  2. 02 Describe a project where you utilized Spark and Scala within a Hadoop environment What was your role, and what challenges did you encounter?
  3. 03 How do you optimize Spark jobs for performance and efficiency in large-scale data processing tasks?
  4. 04 Have you worked with Apache Kafka in conjunction with Hadoop? If so, can you explain how you integrated them and the benefits it provided?
  5. 05 Discuss your experience with Spark Streaming or Structured Streaming for real-time data processing What use cases did you address, and what were the outcomes?
  6. 06 Explain your understanding of RDDs (Resilient Distributed Datasets) and DataFrames in Apache Spark, and when you would choose one over the other in your development?
  7. 07 Have you implemented machine learning algorithms using Spark’s MLlib library? If yes, can you provide examples and discuss the results?
  8. 08 How do you handle data skewness and imbalance in Spark jobs, especially when dealing with large datasets?
  9. 09 Describe your approach to fault tolerance and resilience in Spark applications, considering factors like node failures and data consistency?
  10. 10 Have you worked with Spark SQL for querying and analyzing data? If so, discuss your experience with optimizing SQL queries for performance?

Hadoop Developer + Spark & Scala Course Certification with Training in Pune

Welcome to Radical Technologies, the premier institute in Pune offering top-notch Big Data Hadoop training and certification programs. We specialize in providing comprehensive training, industry-recognized certification, and job placement assistance to empower individuals in the field of Big Data.

Our Big Data Hadoop training programs are designed to equip you with the skills and knowledge required to excel in the dynamic field of big data analytics. Whether you’re a beginner or an experienced professional, our courses cover a wide range of topics, ensuring you receive a well-rounded education in Big Data Hadoop.

Achieving a Big Data Hadoop certification is a significant milestone in your career journey. Our institute is committed to providing you with the best preparation for industry-recognized certifications that will validate your expertise and enhance your employability.

Radical Technologies takes pride in being recognized as the best Big Data Hadoop institute in Pune. Our state-of-the-art facilities, experienced faculty, and industry-aligned curriculum make us the preferred choice for individuals looking to kickstart or advance their careers in Big Data Hadoop.

Our Big Data Hadoop classes offer a blend of theoretical knowledge and hands-on experience, ensuring a comprehensive learning experience. For those seeking flexibility, we also provide Big Data Hadoop online courses. These online courses cover the same curriculum as our in-person classes, allowing you to learn at your own pace.

To enhance your learning journey, we provide a variety of Big Data Hadoop tutorials and learning resources. These resources include guides, videos, and additional materials to reinforce your understanding of key concepts and techniques.

One of the standout features of Radical Technologies is our Big Data Hadoop job placement assistance guarantee. We are committed to helping qualified candidates secure promising job opportunities in the Big Data industry. Our strong industry connections and partnerships with leading companies enable us to provide valuable job placement support.

By choosing Radical Technologies for your Big Data Hadoop training, you are opening doors to exciting career opportunities. Our courses are designed to align with the latest industry trends, ensuring that you are well-prepared for the ever-evolving landscape of Big Data analytics.

If you are passionate about a career in Big Data Hadoop, Radical Technologies is the place to be. Enroll in our Big Data Hadoop training programs, gain valuable skills, and position yourself for a successful and rewarding career in the burgeoning field of big data analytics.

For more information on our Big Data Hadoop courses, certifications, and job placement assistance, contact us today!

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Amazon
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Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
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GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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