When it comes to the storage and processing of large datasets, Hadoop takes the lead in that area. Hadoop is currently widespread among various industries purely due to its handling of massive data volumes in a cost-efficient manner. So, now is the time to learn Hadoop at our Hadoop Online Training Institute. With our Hadoop Online Course, students can learn Hadoop in a detailed and profound manner by learning both common and uncommon topics in the syllabus. So, go ahead and enroll in our Hadoop Online Training with certification & placements to get the most out of our updated Hadoop Course.
Hadoop Online Training
4.70
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DURATION
1 Month
Mode
Live Online / Offline
EMI
0% Interest
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What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Course Schedules
Course Syllabus
Course Fees
or any other questions...
Breakdown of Hadoop Online Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
March 2025
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
March 2025
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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Syllabus of Hadoop Online Training
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Introduction to Hadoop
- Hadoop Distributed File System
- Hadoop Architecture
- MapReduce & HDFS
Hadoop Eco Systems
- Introduction to Pig
- Introduction to Hive
- Introduction to HBase
- Other eco system Map
Hadoop Developer
- Moving the Data into Hadoop
- Moving The Data out from Hadoop
- Reading and Writing the files in HDFS using java program
- The Hadoop Java API for MapReduce
- Mapper Class
- Reducer Class
- Driver Class
- Writing Basic MapReduce Program In java
- Understanding the MapReduce Internal Components
- Hbase MapReduce Program
- Hive Overview
- Working with Hive
- Pig Overview
- Working with Pig
- Sqoop Overview
- Moving the Data from RDBMS to Hadoop
- Moving the Data from RDBMS to Hbase
- Moving the Data from RDBMS to Hive
- Flume Overview
- Moving The Data from Web server Into Hadoop
- Real Time Example in Hadoop
- Apache Log viewer Analysis
- Market Basket Algorithms
Big Data Overview
- Introduction In Hadoop and Hadoop Related Eco System.
- Choosing Hardware For Hadoop Cluster nodes
- Apache Hadoop Installation
- Standalone Mode
- Pseudo Distributed Mode
- Fully Distributed Mode
- Installing Hadoop Eco System and Integrate With Hadoop
- Zookeeper Installation
- Hbase Installation
- Hive Installation
- Pig Installation
- Sqoop Installation
- Installing Mahout
- Horton Works Installation
- Cloudera Installation
- Hadoop Commands usage
- Import the data in HDFS
- Sample Hadoop Examples (Word count program and Population problem)
- Monitoring The Hadoop Cluster
- Monitoring Hadoop Cluster with Ganglia
- Monitoring Hadoop Cluster with Nagios
- Monitoring Hadoop Cluster with JMX
- Hadoop Configuration management Tool
- Hadoop Benchmarking
Objectives of Learning Hadoop Online Training
Download Syllabus
Our Hadoop Online Training is now equipped with the brand new syllabus which is curated by experts from the IT industry, while bearing in mind some of the current trends and standards in the IT industry, so the syllabus is fully up-to-date and reliable. It also covers both fundamental and advanced topics to serve students to all levels of experience, some of those topics are discussed below briefly:
- The syllabus begins with basic topics such as Introduction to Hadoop, Hadoop Architecture. HDFS etc.
- The syllabus then moves to topics that explore Hadoop a little deeper such as, Hadoop Ecosystems, Introduction to Pig, Introduction to Hive etc.
- The syllabus finally goes to advanced topics like, Hadoop Developer, Sqoop Overview, Moving the Data from RDBMS to Hadoop, Moving the Data from RDBMS to Hbase etc.
Reason to choose SLA for Hadoop Online Training
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to our Trainer about Hadoop Online Training?Request a Free Callback
Highlights of The Hadoop Online Training
What is Hadoop?
Hadoop, crafted by the Apache Software Foundation, is an open-source framework tailored for distributed storage and processing of extensive datasets across clusters of computers. Its scalability spans from a single server to numerous machines, with each providing local computation and storage capabilities.
What are the reasons for learning Hadoop?
The following are the reasons to learn Hadoop:
- Distributed Computing: Hadoop’s setup lets many computers work together at once to handle big tasks, which helps make things faster and safer.
- Cost-Effective Storage: Hadoop’s way of storing data uses regular, not-too-expensive computers instead of fancy ones, which saves money.
- Flexible Data Processing: Hadoop’s tools can handle all kinds of data, like organized stuff, stuff that’s kind of organized, and stuff that’s not organized at all.
What are the prerequisites for learning Hadoop Online Training?
SLA does not demand any prerequisites for any courses as all the courses cover topics from fundamental to advanced level. However having a basic knowledge on these below topics can be beneficial in learning Hadoop easily:
- Basic Programming Knowledge: It’s good to know the basics of how to write computer programs, like using Java, Python, or Scala.
- Familiarity with Linux: Knowing a little bit about how to use Linux, which is a type of computer operating system, can be handy because Hadoop usually works on Linux computers.
- Understanding of SQL: Having some knowledge about SQL, which is a language for talking to databases, is helpful because many Hadoop tools use a similar language to work with data.
Our Hadoop Course is suitable for:
- Students
- Job Seekers
- Freshers
- IT professionals aiming to enhance their skills
- Professionals seeking career change
- Enthusiastic programmers
What are the course fees and duration?
The Hadoop course fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the Hadoop course fees come in the range of ₹25,000 to ₹30,000 INR for 1 month, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and certified Hadoop certification, kindly contact our Best Placement Training Institute in Chennai directly.
What are some of the jobs related to Hadoop?
The following are some of the jobs related to Hadoop:
- Hadoop Administrator
- Data Engineer
- Big Data Developer
- Data Scientist
What is the salary range for the position of Hadoop Administrator?
The Hadoop Administrator freshers salary typically with around 2 years of experience earn approximately ₹4-5 lakhs annually. For a mid-career Hadoop Administrator with around 5 years of experience, the average annual salary is around ₹8-9 lakhs. An experienced Hadoop Administrator with more than 7 years of experience can anticipate an average yearly salary of around ₹12-13 lakhs. Visit SLA for more courses.
List a few real time Hadoop applications.
Here are several real time Hadoop applications:
- Real-Time Data Processing Pipeline
- Real-Time Fraud Detection
- Real-Time Sentiment Analysis
- Real-Time Recommendations
Who are our Trainers for Hadoop Online Training?
Our Mentors are from Top Companies like:
The following are our trainer’s profile for the Hadoop Online Training:
- Our instructors have extensive experience and Hadoop certifications, each possessing over 8 years of IT industry expertise.
- They excel in crafting comprehensive Big Data and Hadoop solutions to tackle intricate data analytics challenges.
- Having mentored numerous learners, they specialize in various data science modules powered by Hadoop, offering tailored guidance in both administration and development.
- Their adept communication skills enable them to simplify complex concepts for successful global trainees.
- With a history of delivering innovative teaching materials, they ensure a rich learning experience in our Chennai-based Hadoop training.
- They actively align learning objectives with industry trends, ensuring learners stay abreast of Big Data and Hadoop advancements.
- Devoted to nurturing beginners and amateurs, they empower students to grasp core technologies and cutting-edge tools.
- Proficient in fostering analytical, troubleshooting, and optimization skills in Hadoop implementations, they foster a passion for new-age technologies.
- Our trainers adeptly aid students in crafting industry-ready resumes tailored to meet professional standards.
- Their motivation lies in facilitating student placement through expert interview preparation and guidance.
Want to Speak to our Trainer about Hadoop Online Training?Request a Free Callback
What Modes of Training are available for Hadoop Online Training?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Stand Out from the Crowd with Codethon Certificate
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Project Practices for Hadoop Online Training
Real-Time Supply Chain Optimization
Use Apache Kafka to gather live supply chain data, analyze it with Apache Spark Streaming.
Real-Time Traffic Management
Use Apache Kafka to gather real-time traffic data, analyze it with Apache Storm or Apache Flink.
Real-Time Healthcare Analytics
Gather live healthcare data using Apache Kafka, analyze it with Apache Spark Streaming, store it in Apache Hadoop.
Real-Time Network Security Monitoring
Collect real-time network security data with Apache Kafka, analyze with Apache Flink or Apache Spark Streaming.
Real-Time Customer Personalization
Track user behavior with Apache Kafka, analyze it with Apache Spark Streaming, personalize experiences.
Real-Time Weather Forecasting
Gather live weather data with Apache Kafka, process it with Apache Storm, store it in Apache Hadoop.
Real-Time Social Media Analytics
Gather real-time social media data from platforms like Twitter using Apache Kafka, analyze it with Apache Spark Streaming.
Real-Time Energy Grid Monitoring
Use Apache Kafka to collect live energy grid data, then analyze it with Apache Storm or Apache Flink.
Real-Time Stock Market Analysis
Create a system using Apache Kafka to get live stock market data, analyze it with Apache Spark Streaming, and save it.
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The SLA way to Become
a Hadoop Online Training Expert
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
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See More ReviewsPlacement Support for a Hadoop Online Training
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
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FAQs for
Hadoop Online Training
How many branches does SLA have?
1.
SLA has two branches currently, in Navalur, OMR and K.K. Nagar.
What is the special feature of SLA’s OMR branch?
2.
SLA’s OMR branch has the advantage of being located in the middle of OMR’s hub, which is surrounded by IT companies, so this gives SLA’s OMR students massive opportunities in internships and placements.
Does SLA provide EMI?
3.
Yes, SLA offers EMI with 0% interest.
Does SLA have experienced trainers?
4.
Yes, SLA has trainers who are experienced in both the field of IT and teaching.
How does SLA address students’ grievances?
5.
SLA addresses students’ grievances through the appointed HR personnel.
How does Hadoop ensure fault tolerance?
6.
Hadoop duplicates data across many computers in the cluster, so if one fails, another has a copy.
What’s the difference between Hadoop MapReduce and Apache Spark?
7.
Hadoop MapReduce does things in batches, but Apache Spark handles both batches and real-time tasks, plus it’s faster with memory.
How can I make Hadoop run faster?
8.
Tune settings, use optimized data formats like Parquet, adjust how many things run at once, and improve how data gets processed.
What’s YARN’s job in Hadoop?
9.
YARN handles giving resources to different parts of Hadoop, letting things like MapReduce and Spark run at once.
What should I do to keep my Hadoop cluster safe?
10.
Use security features like Kerberos, encrypt data, set up firewalls, control who can see sensitive stuff, and keep everything up to date.
Additional Information for
Hadoop Online Training
Our Hadoop Online Training has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates. Our Hadoop course syllabus will teach you topics that no other institute will teach. Enroll in our Hadoop training to explore some innovative Top project ideas for the Hadoop Course.
1.
Current Trends in Hadoop
- Cloud-Native Hadoop: More and more organizations are moving towards cloud-based Hadoop services like Amazon EMR, Google Dataproc, and Azure HDInsight, which provide scalability, flexibility, and easier cluster management.
- Containerization and Kubernetes: Docker and Kubernetes are increasingly used for deploying and managing Hadoop clusters, offering portability, resource efficiency, and simplified dependency management.
- Integration with AI and ML: Hadoop is being combined with AI and ML frameworks like TensorFlow, PyTorch, and scikit-learn, enabling advanced analytics, predictive modeling, and deep learning on large datasets stored in Hadoop.
- Real-Time Data Processing: There’s a rising need for real-time data processing and analytics in the Hadoop ecosystem, with technologies like Apache Kafka, Apache Flink, and Apache Spark Streaming being used for real-time data ingestion, processing, and analysis.
- Data Governance and Security: Due to growing concerns about data privacy and compliance, there’s an emphasis on enhancing data governance and security features in Hadoop, including fine-grained access control, data encryption, auditing, and compliance management.
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