Big Data and Hadoop Training in Jayanagar
7465 Ratings
- Join Big Data and Hadoop Course in Jayanagar to Master Data Processing and Analytics.
- Flexible Training Options – Weekday, Weekend, and Online Batches Available to Fit Your Schedule.
- Learn from Experienced Trainers at Big Data and Hadoop Training Institute in Jayanagar.
- Master Core Technologies Including HDFS, MapReduce, Hive, Pig, Spark, and Kafka.
- Get Hands-On Experience with Live Projects, Practical Assignments, and Industry Use Cases.
- Career Support with Resume Building, Interview and Placement Assistance in Big Data Roles.
Course Duration
55+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
12057+
Professionals Trained
9+
Batches every month
2598+
Placed Students
265+
Corporate ServedWhat You'll Learn
Big Data and Hadoop Training in Jayanagar provides a comprehensive learning experience that covers the entire big data lifecycle.
You will gain hands-on experience with HDFS, MapReduce, Hive, Pig, HBase, Sqoop, and Apache Spark to handle, process, and analyze massive datasets.
Learn the fundamentals of data ingestion, ETL pipelines, distributed computing, and data warehousing using Hadoop components.
Big Data and Hadoop Course in Jayanagar performance tuning, data modeling, and job optimization for efficient big data processing.
Real-time projects and lab activities will enhance your data processing, debugging, and deployment skills.
Mock interviews, resume sessions, and industry-aligned career support prepare you for roles in data engineering and big data analytics.
Hadoop Training Objectives
- Hadoop is a database system, not a programming language. The term "Big Data Hadoop" refers to all ecosystems that use HDFS. Hadoop [which includes the Distributed File System [HDFS] and a processing engine [Map reduce/YARN]] and its ecosystem are a collection of tools that aid in the processing of large amounts of data.
Questions for Hadoop Interviews.
- What are the various vendor-specific Hadoop distributions?
- What exactly are the various Hadoop configuration files?
- What are the three different modes in which Hadoop can operate?
- What are the distinctions between a regular FileSystem and an HDFS?
- What is the purpose of HDFS's fault-tolerance?
- Explain the HDFS architecture?
7 Easy Steps to Big Data Preparation.
- Recognize your data sources and the types of data you're producing.
- Make sure you have a big data infrastructure in place.
- Understand how to store and process large amounts of data.
- Data analytics is only one component of the overall solution.
- Make use of the cloud.
- Align your company to convert petabytes into profits.
- Big Data's Proclivity The Hadoop market is booming and shows no signs of slowing down. Because of Hadoop, industries can now store all of the data generated at their businesses at a low cost. Hadoop assists the industry in understanding their customers' behavior, purchasing priorities, i.e. what they liked the most, and click patterns, among other things. Hadoop personalizes ad targeting features and provides personalized recommendations.
- Companies generate thousands of petabytes of data every day, so there is a high demand for Big Data professionals. Even after a few years, Hadoop will be regarded as a must-learn skill for data scientists and Big Data Technology professionals. Companies are investing heavily in it, and it will become a highly sought-after skill in the future.
Top Big Data Competencies.
- Analytical abilities.
- Data visualization abilities.
- Knowledge of the Business Domain and Big Data Tools.
- Programming abilities.
- Problem-Solving Ability.
- SQL stands for Structured Query Language.
- Data mining abilities.
- Familiarity with technological systems.
- It will take a long time if you try to learn Hadoop on your own. It will be determined by your intelligence and learning abilities. Even so, you should expect it to take at least 4-6 months to complete your Hadoop certification and begin your big data training.
- Hadoop is almost synonymous with Big Data. Even though it is several years old, the demand for Hadoop technology is not diminishing. Professionals who understand the core components of Hadoop, such as HDFS, MapReduce, Flume, Oozie, Hive, Pig, HBase, and YARN, are in high demand and will continue to be so.
- For a variety of reasons, Java is probably the best language to learn for big data; MapReduce, HDFS, Storm, Kafka, Spark, Apache Beam, and Scala are all part of the JVM (Java Virtual Machine) ecosystem. Java is by far the most tried and true programming language.
- Hadoop skills are in high demand – there is no doubt about it! As a result, there is an urgent need for IT professionals to stay current with Hadoop and Big Data technologies. Apache Hadoop allows you to advance your career and provides you with the following benefits: Rapid advancement in one's career.
- All of these technologies are designed to help businesses make sense of their massive amounts of data and derive insights from it. As a result, it is not surprising that the global Big Data and business analytics market was valued at US$ 169 billion in 2018 and is expected to grow to US$ 274 billion by 2022.
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Big Data and Hadoop Course Benefits
Our Big Data and Hadoop Certification Course in Jayanagar focuses on building practical expertise using real-world datasets and modern big data tools. You’ll master both core and advanced components of Hadoop while working on industry scenarios. The course includes portfolio-building projects, weekly hands-on evaluations, and continuous code reviews. With resume building, mock interviews, and Big Data and Hadoop Internship in Jayanagar for competitive roles in data engineering and analytics-driven companies.
- Designation
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Annual SalaryHiring Companies
About Your Big Data and Hadoop Certification Training
Our Big Data and Hadoop Training in Jayanagar is thoughtfully designed for students, fresh graduates, and working professionals who are eager to gain practical, hands-on experience. Big Data and Hadoop Projects in Jayanagar you’ll explore core Hadoop components like HDFS, YARN, MapReduce, Pig, Hive, HBase, Flume, Sqoop, and Spark in great depth. Big Data and Hadoop Course With Placement interactive instructor-led coding sessions, real-world labs, and live project implementations that mirror industry scenarios.
Top Skills You Will Gain
- HDFS & YARN
- MapReduce Programming
- Hive & Pig Scripting
- HBase & NoSQL Integration
- Apache Sqoop & Flume
- Apache Spark & Spark SQL
- Data Ingestion & ETL Workflows
- Cluster Management & Tuning
12+ Big Data and Hadoop Tools
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why Big Data and Hadoop Course From Learnovita ? 100% Money Back Guarantee
Big Data and Hadoop Course Curriculam
Trainers Profile
Our Hadoop instructors are certified data engineering professionals with rich industry experience in managing distributed data systems. Having worked on real-time analytics platforms and cloud big data pipelines, they bring enterprise project insights to the training. Trainers conduct live demos, hands-on labs, and mentorship sessions to ensure learners grasp data flow, cluster operations, and performance tuning. They also assist with project guidance, mock interviews, and post-training career consultation.
Syllabus for Big Data and Hadoop Course Download syllabus
- What is Big Data? Characteristics and Challenges
- Traditional vs. Big Data Architecture
- Hadoop Ecosystem Overview
- Hadoop Distributed File System (HDFS) Fundamentals
- Hadoop Use Cases in Real-world Applications
- HDFS Architecture and Data Flow
- NameNode, DataNode, and Secondary NameNode Explained
- Block Storage and Replication Mechanism
- File Read/Write Operations in HDFS
- HDFS Command Line Operations and Permissions
- Introduction to MapReduce Framework
- Writing a Basic MapReduce Job in Java
- InputFormat, OutputFormat, and RecordReader Concepts
- Combiner, Partitioner, and Counters in MapReduce
- MapReduce Optimization Techniques
- Hive Architecture and Metastore
- Creating Databases and Tables in Hive
- HiveQL – Queries, Joins, and Grouping
- Partitioning and Bucketing for Performance
- Integrating Hive with HDFS and Other Tools
- Introduction to Pig and Pig Latin
- Loading and Transforming Data using Pig
- Writing Scripts and User Defined Functions (UDFs)
- Pig vs Hive – When to Use What
- Debugging and Optimizing Pig Scripts
- Overview of NoSQL and HBase Architecture Creating and Managing Tables in HBase Data Retrieval using HBase Shell and Java APIs HBase Data Model – Column Families and Cells Integrating HBase with Hive and MapReduce
- Data Ingestion Overview and Use Cases
- Importing Data with Sqoop (RDBMS to HDFS)
- Exporting Data from HDFS to RDBMS
- Streaming Data Ingestion using Flume
- Real-time Log Collection and Flume Configuration
- YARN Architecture
- Job Scheduling and Resource Allocation
- Configuring and Tuning Hadoop Cluster
- Monitoring Hadoop with Web UI and Logs
- High Availability and Fault Tolerance in YARN
- Introduction to Apache Spark and RDDs
- Spark vs. MapReduce – Key Differences
- Working with Spark Core and Spark SQL
- Running Spark on Hadoop Cluster (YARN)
- Real-time Processing with Spark Streaming
- End-to-End Hadoop Project Development
- Version Control with Git and Collaborative Workflow
- Resume Preparation with Hadoop Project Highlights
- Technical Interview Practice Sessions
- Placement Assistance and Mock Interviews
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam &Big Data and Hadoop Certification
At LearnoVita, You Can Enroll in Either the instructor-led Hadoop Online Course, Classroom Training or Online Self-Paced Training.
Hadoop Online Training / Class Room:
- Participate and Complete One batch of Hadoop Training Course
- Successful completion and evaluation of any one of the given projects
Hadoop Online Self-learning:
- Complete 85% of the Hadoop Certification Training
- Successful completion and evaluation of any one of the given projects
These are the Different Kinds of Certification levels that was Structured under the Cloudera Hadoop Certification Path.
- Cloudera Certified Professional - Data Scientist (CCP DS)
- Cloudera Certified Administrator for Hadoop (CCAH)
- Cloudera Certified Hadoop Developer (CCDH)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LernoVita Hadoop Certification Training in Jayanagar That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
Vinoth P
UI Developer, TCS
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
Pranav Srinivas
Software Testing, Capgemini
Prasanna
SAP Admin, HCLHow are the Big Data and Hadoop Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Big Data and Hadoop Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Big Data and Hadoop Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Big Data and Hadoop Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Big Data and Hadoop Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Big Data and Hadoop Certifications With Global Validity.
Basic Big Data and Hadoop Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to Big Data and Hadoop Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Big Data and Hadoop Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Big Data and Hadoop Training , HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
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- Get Trainer Tips to Clear Interviews
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