Big Data and Hadoop Training in Hyderabad
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6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
- Join the Best Big Data and Hadoop Course in Hyderabad to Master Data Processing, and Distributed Storage.
- Flexible Big Data and Hadoop Class Schedules: Choose from Weekday, Weekend, or Accelerated Fast-Track Options.
- Comprehensive Big Data and Hadoop Certification Training with Career-Oriented Placement Support.
- Work on Real-Time Data Projects and Hands-On Labs Led by Expert Hadoop Professionals.
- Gain Expertise in HDFS, MapReduce, Hive, Pig, Sqoop, and Big Data Ecosystem Tools.
- Learn from industry-experienced mentors at a top Big Data and Hadoop training institute in Hyderabad with job-focused.
Course Duration
45+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
8695+
Professionals Trained
8+
Batches every month
2517+
Placed Students
168+
Corporate ServedWhat You'll Learn
Understand Hadoop architecture and its ecosystem for managing large-scale data efficiently.
Learn HDFS and MapReduce concepts to store and process distributed datasets seamlessly.
Work with Hive and Pig to perform data querying and transformations in big data systems.
Implement real-time data processing using Apache Spark and its core components.
Develop hands-on skills through live projects in the Big Data and Hadoop Training in Hyderabad.
Use Sqoop and Flume for effective data ingestion from various sources into Big Data and Hadoop Course in Hyderabad clusters.
Big Data and Hadoop Training Objectives
- Yes, of course. There's an unquestionable market for Hadoop skills! Therefore, IT experts need to keep up with Hadoop and Big Data technology as a matter of urgency. Apache Hadoop offers you the possibility to boost your career.
- Career advancement prospects are excellent for people who become Hadoop developers In future, Hadoop is one of the leading big data technologies. Many of the world's major companies use Hadoop technology to handle their vast data for research and development because they are cost-effective, scalable and dependable.
- Yes, of course. Also recruiters know that knowing the university is not sufficient to do a job. You're sure you're confident. However, once you enter the business, you will be trained according to your requirements.
- Profound practical experience, practical training in Hyderabad and Hadoop training in Hyderabad.
- The project uses case scenarios from different industries in real-time.
- Mock tests and different issues discussed.
- Market penetration into different countries and employment in large companies.
- Immediate employment prospects after the Advance Hadoop Course in Hyderabad.
- Active coordination with students from the stage where the CV/Resume is prepared for interviews and job securing.
- Pre-preparation means that our students can conduct their first interviews with confidence.
- Basic computer skills and programming knowledge are included. Additionally, C and C++ awareness is an added benefit for learning Big Data Hadoop fromAdvance Hadoop Course in Hyderabad
- Mostly yes, Agile thinking is sufficient for the concepts of Hadoop to understand. Even though the basic C and C++ language programming language makes it easy to comprehend the concepts.
The significant areas where you excel after this Hadoop Online Training are:
- The exposure to several projects in the real world that will be carried out in CloudLab in Edureka.
- Different projects cover different data sets in various fields such as banking, telecommunications, social media, insurance and e-commerce.
- Hadoop's rigorous participation in the Big Data Hadoop certification in order to learn industry standards and best practices
For the following positions, the Hadoop Certification is perfect:
- System Administrators and Program Developers.
- Staff and project managers experienced.
- Hadoop Big Data Developers want to study other vertical elements such as research, analysis and management.
- Skilled mainframes, architects & experts.
- Professionals in business intelligence, data storage and analysis.
- Students and students who want to understand big data.
- World Hadoop business in two years, reaching $84.6 billion – Allied Market Research
- The number of jobs will rise to 2.7 million per year for all US data professionals – IBM.
- A Hadoop Admin in the USA can earn 123,000 dollars – indeed.
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Big Data and Hadoop Course Benefits
The Big Data and Hadoop Training Institute in Hyderabad offers in-depth knowledge of data processing, storage, and analytics using real-world tools like HDFS, MapReduce, Hive, and Spark. It enhances your ability to manage large datasets efficiently, preparing you for roles in data engineering and analytics. The course also includes certification and placement support, boosting your career opportunities in top industries Big Data and Hadoop Internship in Hyderabad.
- Designation
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Annual SalaryHiring Companies
About Your Big Data and Hadoop Certification Training
Our Big Data and Hadoop Certification Course in Hyderabad offers an affordable route to mastering core big data tools like HDFS, MapReduce, Hive, and Spark. With hands-on experience through real-time Big Data and Hadoop projects in Hyderabad, learners build strong practical skills. Backed by 500+ hiring partners and 100% Big Data and Hadoop placement in Hyderabad support, this course prepares you for high-demand roles in the data industry.
Top Skills You Will Gain
- Data Ingestion
- Distributed Storage
- Batch Processing
- Query Optimization
- Cluster Management
- Fault Tolerance
- Data Integration
- Real-Time Processing
12+ Big Data and Hadoop Tools
Hadoop
Hive
Pig
HDFS
Spark
Sqoop
Flume
Oozie
Zookeeper
Kafka
HBase
Mahout
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
22 - Sep - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
24 - Sep - 2025
08:00 AM (IST)
Weekend (Sat)
27 - Sep - 2025
11:00 AM (IST)
Weekend (Sun)
28 - Sep - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹18000
₹14500
10% OFF Expires in
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
Syllabus of Big Data and Hadoop Training Download syllabus
- High Availability
- Scaling
- Advantages and Challenges
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- What is Big data
- Big Data opportunities,Challenges
- CharLearnoVitaristics of Big data
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- Hadoop Distributed File System
- Comparing Hadoop & SQL
- Industries using Hadoop
- Data Locality
- Hadoop Architecture
- Map Reduce & HDFS
- Using the Hadoop single node image (Clone)
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- HDFS Design & Concepts
- Blocks, Name nodes and Data nodes
- HDFS High-Availability and HDFS Federation
- Hadoop DFS The Command-Line Interface
- Basic File System Operations
- Anatomy of File Read,File Write
- Block Placement Policy and Modes
- More detailed explanation about Configuration files
- Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
- How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
- FSCK Utility. (Block report)
- How to override default configuration at system level and Programming level
- HDFS Federation
- ZOOKEEPER Leader Election Algorithm
- Exercise and small use case on HDFS
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- Map Reduce Functional Programming Basics
- Map and Reduce Basics
- How Map Reduce Works
- Anatomy of a Map Reduce Job Run
- Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
- Job Completion, Failures
- Shuffling and Sorting
- Splits, Record reader, Partition, Types of partitions & Combiner
- Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
- Types of Schedulers and Counters
- Comparisons between Old and New API at code and Architecture Level
- Getting the data from RDBMS into HDFS using Custom data types
- Distributed Cache and Hadoop Streaming (Python, Ruby and R)
- YARN
- Sequential Files and Map Files
- Enabling Compression Codec’s
- Map side Join with distributed Cache
- Types of I/O Formats: Multiple outputs, NLINEinputformat
- Handling small files using CombineFileInputFormat
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-
- Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
- Sorting files using Hadoop Configuration API discussion
- Emulating “grep” for searching inside a file in Hadoop
- DBInput Format
- Job Dependency API discussion
- Input Format API discussion,Split API discussion
- Custom Data type creation in Hadoop
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- ACID in RDBMS and BASE in NoSQL
- CAP Theorem and Types of Consistency
- Types of NoSQL Databases in detail
- Columnar Databases in Detail (HBASE and CASSANDRA)
- TTL, Bloom Filters and Compensation
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- HBase Installation, Concepts
- HBase Data Model and Comparison between RDBMS and NOSQL
- Master & Region Servers
- HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
- Catalog Tables
- Block Cache and sharding
- SPLITS
- DATA Modeling (Sequential, Salted, Promoted and Random Keys)
- Java API’s and Rest Interface
- Client Side Buffering and Process 1 million records using Client side Buffering
- HBase Counters
- Enabling Replication and HBase RAW Scans
- HBase Filters
- Bulk Loading and Co processors (Endpoints and Observers with programs)
- Real world use case consisting of HDFS,MR and HBASE
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- Hive Installation, Introduction and Architecture
- Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
- Meta store, Hive QL
- OLTP vs. OLAP
- Working with Tables
- Primitive data types and complex data types
- Working with Partitions
- User Defined Functions
- Hive Bucketed Tables and Sampling
- External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
- Dynamic Partition
- Differences between ORDER BY, DISTRIBUTE BY and SORT BY
- Bucketing and Sorted Bucketing with Dynamic partition
- RC File
- INDEXES and VIEWS
- MAPSIDE JOINS
- Compression on hive tables and Migrating Hive tables
- Dynamic substation of Hive and Different ways of running Hive
- How to enable Update in HIVE
- Log Analysis on Hive
- Access HBASE tables using Hive
- Hands on Exercises
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- Pig Installation
- Execution Types
- Grunt Shell
- Pig Latin
- Data Processing
- Schema on read
- Primitive data types and complex data types
- Tuple schema, BAG Schema and MAP Schema
- Loading and Storing
- Filtering, Grouping and Joining
- Debugging commands (Illustrate and Explain)
- Validations,Type casting in PIG
- Working with Functions
- User Defined Functions
- Types of JOINS in pig and Replicated Join in detail
- SPLITS and Multiquery execution
- Error Handling, FLATTEN and ORDER BY
- Parameter Substitution
- Nested For Each
- User Defined Functions, Dynamic Invokers and Macros
- How to access HBASE using PIG, Load and Write JSON DATA using PIG
- Piggy Bank
- Hands on Exercises
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- Sqoop Installation
- Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
- Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
- Free Form Query Import
- Export data to RDBMS,HIVE and HBASE
- Hands on Exercises
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- HCatalog Installation
- Introduction to HCatalog
- About Hcatalog with PIG,HIVE and MR
- Hands on Exercises
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- Flume Installation
- Introduction to Flume
- Flume Agents: Sources, Channels and Sinks
- Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
- Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
- Flume Commands
- Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
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- HUE.(Hortonworks and Cloudera)
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- Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
- Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
- Zoo Keeper
- HBASE Integration with HIVE and PIG
- Phoenix
- Proof of concept (POC)
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- Spark Overview
- Linking with Spark, Initializing Spark
- Using the Shell
- Resilient Distributed Datasets (RDDs)
- Parallelized Collections
- External Datasets
- RDD Operations
- Basics, Passing Functions to Spark
- Working with Key-Value Pairs
- Transformations
- Actions
- RDD Persistence
- Which Storage Level to Choose?
- Removing Data
- Shared Variables
- Broadcast Variables
- Accumulators
- Deploying to a Cluster
- Unit Testing
- Migrating from pre-1.0 Versions of Spark
- Where to Go from Here
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Industry Projects
Career Support
Our Hiring Partner
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Phone (For Voice Call):
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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
- Complete 85% of the Hadoop Certification Training
- Successful completion and evaluation of any one of the given projects
Honestly Yes, LearnoVita Provide 1 Set of Practice test as part of Your Hadoop Certification Course in Hyderabad. It helps you to prepare for the actual Hadoop Certification Training exam. You can try this free Hadoop Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
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 Hyderabad 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.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Hadoop Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. LearnoVita Hadoop Training in Hyderabad Trainers had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank the Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills from this Hadoop Training.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers from this Hadoop Course in Hyderabad. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Hadoop Training with Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Prasanna
SAP Admin, HCL
I am very Thankful to the faculties of LearnoVita as they are very much supportive, helpful and the Placement Cell which is also doing great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
How 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
Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. A great learning experience is provided by all of these knowledgeable people at LearnoVita.
- 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 Oracle, 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.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Big Data and Hadoop I exam centers, as well as an authorized partner of Big Data and Hadoop . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Big Data and Hadoop .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Big Data and Hadoop at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Big Data and Hadoop Service batch to 5 or 6 members.
The average annual salary for Big Data and Hadoop Professionals in India is 6 LPA to 8 LPA.
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