What You'll Learn
Hadoop Administration Online Training offers in-depth knowledge of big data infrastructure and cluster management.
Understand the essentials of distributed storage and processing for large-scale data environments.
Develop skills to optimize resource allocation and improve system reliability in Hadoop ecosystems.
Learn to configure Hadoop components and design dashboards for real-time monitoring and analytics.
Explore advanced Hadoop features for data ingestion, fault tolerance, and performance tuning.
Gain hands-on experience through Hadoop Administration Online Course to enhance your career in big data operations.
Hadoop Administration Training Objectives
- The increased implementation of Hadoop is generating numerous job opportunities. ... As the companies are moving to Big Data, the needs for Hadoop Skilled professionals are evident. The professionals with Hadoop administration skills are much in demand just like Hadoop Developer skills.
- For those who are trying to start their careers, you can pick up Hadoop administration with relative ease. Also when you are trying to jump start your career, it is best to start your career in a field which is strong and has a lot of demand. Hadoop perfectly fits that criteria.
- Future Scope of Hadoop. As per the Forbes report, the Hadoop and the Big Data market will reach $99.31B in 2022 attaining a 28.5% CAGR. The below image describes the size of Hadoop and Big Data Market worldwide form 2017 to 2022. From the above image, we can easily see the rise in Hadoop and the big data market..
Our course is designed to give a hands-on approach to the students in Hadoop Administration. The course is made up of Both theoretical & Practical classes that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current challenges and needs of the industry that will demand the students’ time and commitment.
- Deep practical knowledge & Hands-on lab.
- Real-time project use cases & scenarios from the various Industries.
- Mock Tests and discussing various questions.
- LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
- Market entry to various countries and jobs in major corporate.
- Immediate job opportunities after Completion of training.
- Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
- Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
- A developer can take over the job of a Hadoop administrator whereas an admin can't play the role of a developer unless he has adequate programming knowledge. However, with the huge and complex production environment, now companies need dedicated Hadoop administrators
- Hadoop is a Big Data technology that enables distributed storage and computing of data. It provides a robust and cost-effective data storage system. Hadoop with unique features like scalability, fault tolerance has become a favorite of many businesses. ... Organizations use Hadoop for big data crunching.
After this training, the significant areas where you excel are as follows:
- Although Hadoop is a Java-encoded open-source software framework for distributed storage and processing of large amounts of data, Hadoop does not require much coding. ... All you have to do is enroll in a Hadoop certification course and learn Pig and Hive, both of which require only the basic understanding of SQL.
The training is perfect for the below job positions:
- Software developers
- Web designers
- Programming enthusiasts
- Engineering graduates
- Students who all want to become Hadoop Administration developers
- Hadoop has almost become synonymous to Big Data. Even if it is quite a few years old, the demand for Hadoop technology is not going down. Professionals with knowledge of the core components of the Hadoop such as HDFS, MapReduce, Flume, Oozie, Hive, Pig, HBase, and YARN are and will be high in demand.
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Benefits of Hadoop Administration Course
The Hadoop Administration Certification Course program delivers in-depth knowledge and practical skills, enhanced by a valuable Hadoop Administration internship experience. Develop expertise in configuring and managing Hadoop clusters while applying real-world techniques. Boost your career potential with hands-on learning and industry-relevant exposure. Receive dedicated placement assistance to secure promising job opportunities after course completion.
- Designation
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Annual SalaryHiring Companies
About Your Hadoop Administration Training
Our Hadoop Administration Certification Course offers an affordable path to mastering Hadoop Administration fundamentals, cluster management, and data processing techniques. With access to 500+ hiring partners, we provide excellent career opportunities and 100% Hadoop Administration Placement support. Gain hands-on experience through real-world Hadoop Administration Project that build practical skills to excel in the industry. The Hadoop Administration certification and competitive fees make this course a valuable investment for your future.
Top Skills You Will Gain
- Cluster Setup
- Data Ingestion
- Resource Scheduling
- Performance Tuning
- Security Configuration
- Fault Tolerance
- Backup Recovery
- Data Monitoring
12+ Hadoop Administration 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 Hadoop Administration Course From Learnovita? 100% Money Back Guarantee
Hadoop Administration Course Curriculam
Trainers Profile
Our Hadoop Administration Online Training is guided by industry professionals skilled in big data security, cluster management, and system optimization. Focusing on practical learning, the Hadoop Administration training materials are designed to help students build strong foundational knowledge and hands-on expertise. These resources enable learners to efficiently manage Hadoop ecosystems and troubleshoot complex issues. Completing the course prepares you for real-world challenges and enhances your Hadoop Administration Certification prospects.
Syllabus of Hadoop Administration Course Download syllabus
- High Availability
- Scaling
- Advantages and Challenges
- What is Big data
- Big Data opportunities,Challenges
- CharLearnoVitaristics of Big data
- Hadoop Administration Distributed File System
- Comparing Hadoop Administration & SQL
- Industries using Hadoop Administration
- Data Locality
- Hadoop Administration Architecture
- Map Reduce & HDFS
- Using the Hadoop Administration single node image (Clone)
- HDFS Design & Concepts
- Blocks, Name nodes and Data nodes
- HDFS High-Availability and HDFS Federation
- Hadoop Administration 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
- 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 Administration 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
- Conclusion
- Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
- Sorting files using Hadoop Administration Configuration API discussion
- Emulating “grep” for searching inside a file in Hadoop Administration
- DBInput Format
- Job Dependency API discussion
- Input Format API discussion,Split API discussion
- Custom Data type creation in Hadoop Administration
- 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
- 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
- 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
- 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
- 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
- HCatalog Installation
- Introduction to HCatalog
- About Hcatalog with PIG,HIVE and MR
- Hands on Exercises
- 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
- HUE.(Hortonworks and Cloudera)
- 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)
- 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
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 & Certification
- Participate and Complete One batch of Hadoop Administration Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Hadoop Administration Certification course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- 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 LearnoVita Online Training Course 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
How are the Hadoop Administration Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Hadoop Administration Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Hadoop Administration Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Hadoop Administration Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Hadoop Administration Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Hadoop Administration Certifications With Global Validity.
Basic Hadoop Administration Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Strong 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 Hadoop Administration 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.
Hadoop Administration 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 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.

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