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

Easy way to IT Job

Hadoop Online Course

(3672)
Live Online & Classroom Training
EMI
0% Interest

Our Hadoop Online Training in Chennai will make students learn some of the most in-demand concepts in Hadoop such as – Hadoop Architecture, MapReduce & HDFS, Hadoop Ecosystems, HadoopDeveloper, Big Data, HortonWorks Installation, Cloudera Installation, Hadoop Commands usage, Importing data in HDFS etc. This curriculum will surely make students experts in the concept of  Hadoop in a shorter span of time. Our Hadoop Online Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Hadoop Online Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in high-paying Big Data Engineer and other Hadoop related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Hadoop covers all topics that are guaranteed to give you a complete understanding of the Hadoop Online Course in Chennai.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 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
October 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 Online Course in Chennai

The primary objective of our Hadoop Online Course in Chennai is to make enrolled candidates experts in Hadoop. This Hadoop Online Course will make students grow into successful and most in-demand Big Data Engineers, and more. SLA Institute’s Hadoop Online Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Hadoop. So, some of those concepts are discussed below:

  • To make students well-versed with fundamental Hadoop concepts like – Hadoop Distributed File System, Hadoop Architecture, MapReduce & HDFS, Introduction to Pig, Introduction to Hive, Introduction to HBase etc.
  • To make students well aware of more Hadoop concepts like – Hbase MapReduce Program, Hive Overview, Working with Hive, Pig Overview etc. 
  • To make students experts in advanced Hadoop concepts like – HortonWorks Installation, Cloudera Installation, Hadoop Commands usage, Import the data in HDFS, Hadoop Benchmarking etc.

Scopes in the future for Hadoop Online Course in Chennai

The below listed are the scopes available in the future for the Hadoop Online Course:

  • Governance Frameworks: Introduce tools and frameworks for effective data governance, quality management, and metadata handling in Hadoop settings.
  • Quality Assurance: Emphasize techniques and tools to ensure data accuracy, consistency, and quality across large-scale Hadoop datasets.
  • Data Science Integration: Develop content that integrates Hadoop with data science workflows, including data preparation, feature engineering, and model deployment.
  • Advanced Analytics: Cover advanced analytics techniques and statistical analysis using Hadoop and its associated tools.

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Project Practices on Hadoop Training

Project 1Data Processing Pipeline

Create a pipeline to handle large datasets using Hadoop. This project involves setting up workflows for data ingestion, processing, and analysis. You’ll work with Hadoop’s MapReduce for batch processing and use HDFS for data storage.

Project 2Log Analysis System

Develop a system to analyze server or application logs. Utilize Hadoop to process and gain insights from log files, such as identifying error rates or user activity patterns. Implement MapReduce jobs to manage and analyze the log data.

Project 3Recommendation Engine

Build a recommendation engine with Hadoop. This involves using algorithms like collaborative filtering to recommend products, movies, or content based on user preferences and behavior. Hadoop will help manage and process large datasets needed for effective recommendations.

Project 4Sentiment Analysis on Social Media Data

Perform sentiment analysis on social media data. Gather posts or tweets, process them using Hadoop, and analyze sentiments to understand public opinions. This project will cover aspects such as text preprocessing and sentiment scoring.

Prerequisites for learning Hadoop Online Course in Chennai

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Hadoop better, However it is completely optional:

  • Operating Systems: Familiarity with operating systems such as Windows, macOS, or Linux, along with basic file system navigation.
  • File Management: Understanding file and directory management, including fundamental concepts like file permissions and system commands.
  • Command Line Interface (CLI): Proficiency with the command line is important since Hadoop often involves executing commands and scripts through the CLI. Knowing how to navigate directories, manage files, and run commands is essential.
  • Big Data Basics: While not always required, having an introductory understanding of big data concepts and technologies can provide useful context for learning Hadoop. This includes awareness of the challenges and advantages of handling large-scale data.

Our Hadoop Online Course in Chennai is apt for:

  • Students eager to excel in Hadoop
  • Professionals considering transitioning to Hadoop careers
  • IT professionals wanting to enhance their Hadoop skills
  • Big Data Engineers who are looking forward to expanding their expertise.
  • Individuals searching opportunities in the Hadoop field.

Job Profile for Hadoop Online Course in Chennai

After finishing the Hadoop Online Course in Chennai, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Hadoop sector;

  • Big Data Engineer: Hadoop Online Course will train students into successful Big Data Engineers who will design, develop, and maintain extensive data processing systems utilizing Hadoop. Manage and enhance data pipelines and workflows to ensure effective data storage and retrieval.
  • Data Scientist: Hadoop Online Course will turn students into skilled Data Scientist who will analyze complex datasets to support business decision-making. Use Hadoop to manage large data volumes for tasks such as data mining, statistical analysis, and predictive modeling.
  • Data Analyst: Hadoop Online Course will make students into Data Analyst who will process and analyze data to produce actionable insights. Leverage Hadoop for data aggregation and reporting, and apply statistical methods to identify trends and patterns.
  • Hadoop Developer: The SLA Institute will provide students with enough resources that it will train students into successful Hadoop Developers who will create and deploy Hadoop-based applications and solutions. Develop and optimize MapReduce programs, configure Hadoop clusters, and integrate Hadoop with other data processing technologies.
  • Data Architect: The SLA Institute will turn students into skilled Data Architect who will develop data architectures and frameworks for large-scale data management. Design strategies for data storage, processing, and integration using Hadoop and its ecosystem.
  • Machine Learning Engineer: The SLA Institute will make students into Machine Learning Engineer who will build and implement machine learning models for data analysis and prediction. Utilize Hadoop for processing large datasets and integrating with machine learning frameworks.
  • Data Warehouse Developer: Create and manage data warehousing solutions, including ETL (Extract, Transform, Load) processes. Employ Hadoop for handling large datasets and integrating with data warehousing tools like Hive and HBase.
  • Business Intelligence (BI) Developer: Develop BI solutions and dashboards to offer insights into business performance. Use Hadoop to process and analyze large datasets for effective reporting and visualization.
  • Cloud Data Engineer: Oversee and optimize cloud-based data solutions and services. Implement and manage Hadoop clusters in cloud environments such as AWS, Google Cloud, or Azure.
  • Systems Administrator (Big Data): Maintain and manage Hadoop clusters and associated infrastructure. Ensure system performance, reliability, and security, and provide troubleshooting and support for Hadoop environments.
  • ETL Developer: Design and execute ETL processes to extract, transform, and load data into Hadoop and other systems.
  • Data Operations (DataOps) Engineer: Oversee data operations and workflows with a focus on automation and efficiency. Implement and manage data pipelines, integrating Hadoop with other data processing and operational tools.

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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

How does Hadoop ensure fault tolerance in a distributed setup?

Hadoop achieves fault tolerance through data replication. In HDFS, files are broken into blocks, each replicated across multiple nodes. Typically, each block is replicated three times. If a node fails, Hadoop can retrieve data from the remaining replicas, ensuring data availability and system reliability.

What are the core components of the Hadoop ecosystem and their roles?

The Hadoop ecosystem includes:

  • HDFS: A distributed file system for storing large datasets by breaking data into blocks and replicating them.
  • MapReduce: A model for processing large data sets with parallel algorithms.
  • HBase: A NoSQL database for real-time read/write operations on HDFS.
  • Pig: A scripting platform for writing MapReduce programs using Pig Latin.

Spark: An analytics engine for fast, in-memory processing of large-scale data.

How does the MapReduce programming model operate?

MapReduce operates in two phases: Map and Reduce. The Map phase involves processing data in parallel to produce intermediate key-value pairs. These pairs are then sorted and shuffled. In the Reduce phase, the sorted data is aggregated by the Reducer function to generate the final results.

What are common issues faced when scaling Hadoop clusters?

Scaling Hadoop clusters often involves challenges such as:

  • Data Skew: Uneven data distribution can overload some nodes while others remain idle.
  • Network Bottlenecks: Increased traffic can lead to congestion and slower data transfers.
  • Resource Management: Efficient allocation of CPU, memory, and storage becomes more complex.
  • Fault Tolerance: Maintaining effective replication and recovery processes can be harder as clusters grow.
Where is the corporate office of the SLA Institute located?

The corporate office of the SLA Institute is located at K.K.Nagar. 

Is there an EMI option available at the SLA Institute?

Yes, the SLA Institute offers EMI options to students in payments with 0% interest.

Is it hard to learn the Hadoop Course in Online mode?

Learning the Hadoop Course in Online mode can be easy if students put complete dedication into learning the course by maintaining adequate attendance, cooperating with trainers and finishing the projects on time.

How long is the Hadoop Online Course?

The Hadoop Online Course is 1 month long.

On Average Students Rated The Hadoop Course 4.70/5.0
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