Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Hadoop Course in OMR

(1987)
Live Online & Classroom Training
EMI
0% Interest

Get started with big data by joining our Hadoop Training in OMR at SLA Institute. This course is perfect for beginners and professionals who want to learn how to work with large datasets using Hadoop, a leading open-source framework. You’ll learn about essential components like HDFS, MapReduce, YARN, and Apache Hive, and gain the skills needed to process, store, and analyze big data effectively. With hands-on exercises and real-world projects, you will build practical experience in creating and managing Hadoop applications. Our knowledgeable instructors offer detailed guidance at every stage of the course. At SLA Institute, we offer a friendly learning environment and a Hadoop Course in OMR with Certifications and Placements to help you build a successful career in big data. Enroll today to master Hadoop!

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Hadoop Course Syllabus covers all essential topics, providing you with a comprehensive understanding of Hadoop.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
November 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
November 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Hadoop Course in OMR

The Hadoop Course in OMR aims to achieve several goals to help you become proficient in web development using Hadoop. Throughout the course, you’ll:

  • Learn Hadoop Basics: Understand the core components of Hadoop, including HDFS, MapReduce, and YARN.
  • Manage Big Data: Learn how to store and process large datasets using Hadoop’s distributed file system and processing framework.
  • Work with HDFS: Gain practical skills in managing data using Hadoop Distributed File System (HDFS).
  • Use MapReduce: Understand how to write and execute MapReduce jobs to process large volumes of data.
  • Explore Hadoop Ecosystem: Learn about other tools and technologies in the Hadoop ecosystem, such as Hive, Pig, and HBase.

Handle Real-World Data: Apply your skills to real-world data problems through hands-on projects.

Future Scope of Hadoop Course in OMR

Growing Demand for Big Data Skills
As businesses gather and analyze more data, there’s a growing need for big data skills. Hadoop is a key tool for managing and processing large amounts of data, and knowing how to use it is becoming very valuable. Companies need experts who can handle big data and provide useful insights.

Career Opportunities
A Hadoop course can lead to various job roles, such as Big Data Engineer, Data Analyst, or Hadoop Developer. Many companies are using Hadoop for their data needs, so there are plenty of job opportunities for those skilled in this technology.

Advancements in Hadoop Technology
Hadoop is always improving, with new features and tools being added. Keeping up with these changes, like integrating Hadoop with other technologies such as Spark and Hive, can help you stay competitive and use the latest tools for data management.

Job Security and GrowthWith more companies relying on Hadoop for big data solutions, professionals with Hadoop skills are likely to have good job security and career growth. As the use of data increases, the demand for skilled Hadoop professionals will continue to rise. By taking a Hadoop Course in OMR, you prepare for a strong career in the expanding field of big data.

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Project Practices on Hadoop Training

Project 1Data Ingestion Project

In this project, you’ll learn how to bring data from different sources into Hadoop using tools like Apache Flume and Sqoop. You’ll set up a system to collect and import both structured and unstructured data, ensuring it integrates smoothly into the Hadoop environment.

Project 2Data Processing with MapReduce

This project involves writing MapReduce programs to process large datasets in HDFS. You’ll tackle real-world data problems, optimizing your code for better performance. By the end, you’ll know how to efficiently analyze and change data using Hadoop’s powerful processing features.

Project 3Data Analysis with Hive

In this project, you’ll use Apache Hive to analyze large datasets. You’ll create tables, write queries, and generate reports. By completing this project, you’ll learn how to make data querying easier in Hadoop and gain valuable insights from your data.

Project 4Data Visualization with Spark

This project teaches you to use Apache Spark with Hadoop to visualize data insights. You’ll learn how to analyze data using Spark’s machine learning tools and create visual displays using software like Tableau or Matplotlib, helping you present your data effectively.

Prerequisites for learning Hadoop Course in OMR

To join our Hadoop Training in OMR at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic Computer Skills: You should know how to use computers and software applications.
  • Programming Knowledge: Familiarity with programming languages like Java, Python, or Scala is helpful for understanding Hadoop.
  • Understanding Databases: Knowing the basics of databases and SQL will be useful since Hadoop is used for storing and processing data.
  • Linux Knowledge: It’s important to have some experience with Linux operating systems, as many Hadoop setups run on Linux.
  • Interest in Big Data: Being interested in big data technologies will make learning more enjoyable and engaging.
  • Problem-Solving Skills: Good analytical and problem-solving abilities will help you tackle challenges during the course.

Our Hadoop Course in OMR is ideal to:

  • Students eager to excel in Hadoop 
  • Professionals considering transitioning to Hadoopcareers
  • IT professionals aspiring to enhance their Hadoopskills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Hadoop

Job Profile in Hadoop Course in OMR

In the Hadoop Course in OMR at SLA Institute, participants are prepared for various job roles that require expertise in managing and processing data on both the front-end and back-end.

Hadoop Developer

  • Responsibilities: Design and develop Hadoop applications, write MapReduce jobs, and optimize performance.
  • Salary: ₹6-12 lakhs per annum, depending on experience.

Data Engineer

  • Responsibilities: Build and maintain data pipelines, integrate data from various sources, and ensure data quality.
  • Salary: ₹8-15 lakhs per annum, depending on experience.

Data Analyst

  • Responsibilities: Analyze large datasets, create reports, and provide insights to support decision-making.
  • Salary: ₹4-10 lakhs per annum, depending on experience.

Big Data Architect

  • Responsibilities: Design the overall architecture of big data solutions, select appropriate technologies, and oversee implementation.
  • Salary: ₹12-20 lakhs per annum, depending on experience.

Data Scientist

  • Responsibilities: Analyze data using statistical methods, develop predictive models, and communicate findings effectively.
  • Salary: ₹10-18 lakhs per annum, depending on experience.

Hadoop Administrator

  • Responsibilities: Manage and configure Hadoop clusters, ensure system performance, and handle security and backups.
  • Salary: ₹8-15 lakhs per annum, depending on experience.

These roles reflect the diverse career opportunities available for professionals with Hadoop training, each offering unique responsibilities and competitive salaries.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Hadoop Course FAQ

What is Hadoop?

Hadoop is an open-source system used to store and process large amounts of data across multiple computers. It features a storage system called HDFS and a processing model called MapReduce, which helps analyze data efficiently and scale easily.

Is Hadoop easy or hard?

Hadoop can be both easy and hard, depending on your background. If you have some experience with programming and data management, you might find it easier to learn. However, it can be challenging for beginners due to its complex concepts and tools.

What is Hadoop used for?

Hadoop is used for storing and processing large datasets efficiently. It is commonly applied in data analysis, big data processing, and machine learning. Organizations use Hadoop for tasks like data warehousing, log processing, and analyzing unstructured data from various sources.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.

Is Hadoop good career?

Yes, a career in Hadoop can be very good. With the growing demand for big data, many companies are looking for professionals skilled in Hadoop. It offers opportunities in data analysis, data engineering, and data science, often with competitive salaries and career growth potential.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

On Average Students Rated The Hadoop Course 4.80/5.0
(1987)
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