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Hadoop Online Training

(845 Ratings) 1764 Subscribers

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  • 30 hrs Interactive session
  • Cloud Lab for practice
  • Resume & Interview preparation
  • 100% Placement Support

Career Opportunities

The average salary of Hadoop Professionals is up to $123,000 per year. The companies are in high demand for Hadoop professionals and growing in the specialization.
Global Hadoop Market is progressing to reach $99.31 Billion by 2022, and there is a shortage of 2 million Hadoop professionals in the US alone.
The top companies using Hadoop are Amazon Web Services, Cloudera, Intel, Microsoft, Teradata, Pivotal Software, Hortonworks, MapR Technologies. There will be a necessity for more Hadoop developers to deal with big data challenges.
There are abundant of job profiles available out there for Hadoop professionals like Linux Hadoop Administrator, Hadoop Database Development Team Lead, Hadoop Engineer, Hadoop Architect, Hadoop Tester, and Hadoop Developer.


Section 1: Introduction to Big Data and Hadoop:
  • Introduction to Big data
  • Challenges in processing Big data
  • Technologies that support Big data
  • What is Hadoop?
  • Why Hadoop?
  • When to use Hadoop?
  • Hadoop vs RDBMS
  • Hadoop requirements
Section 2: HDFS - Hadoop Distributed File System:
  • HDFS - Introduction
  • HDFS features
Section 3: Hadoop Eco system
  • Pig - Introduction
  • Hive - Introduction
  • HBase - Introduction
  • Scoop
  • Other eco systems
Section 4: Hadoop Development
  • Loading Data into Hadoop
  • Deleting Data from Hadoop
  • Mapper Class
  • Reducer Class
  • Driver Class
  • Basic program using MapReduce
  • MapReduce internals
  • MapReduce - HBase
  • Hive - Introduction
  • Working with Pig
  • Working with Scoop
  • RDBMS to Hadoop
  • RDBMS to Hive
  • RDBMS to Hbase
  • Webserver to Hadoop
  • What is Flume?
  • working with Apache log viewer
  • Market Basket Algorithms
Section 5: Introduction to Hive
  • Introducing Hadoop Hive
  • Detailed architecture of Hive
  • Comparing Hive with Pig and RDBMS
  • Working with Hive Query Language
  • Creation of database, table, Group by and other clauses
  • Various types of Hive tables, Hcatalog
  • Storing the Hive Results
  • Hive partitioning and Buckets
  • Static partitioning
  • Dynamic partitioning
  • Alter Partitioned Table and MSCK Repair command (Advance)
  • What is Bucketing?
  • Create Bucketed Table
  • Tablesampling (Advance)
  • No_drop, Offline command (Advance)
Section 6: Advanced Hive and Impala
  • Indexing in Hive
  • The Map Side Join in Hive
  • Working with complex data types
  • The Hive User-defined Functions
  • Introduction to Impala
  • Comparing Hive with Impala
  • The detailed architecture of Impala
Section 7: Working with Pig
  • Apache Pig introduction and its various features
  • Various data types and schema in Hive
  • The available functions in Pig, Hive Bags, Tuples and Fields
Section 8: Flume, Sqoop and HBase
  • Apache Sqoop introduction, overview
  • Importing and exporting data
  • Performance improvement with Sqoop and Sqoop limitations
  • Architecture of Flume, HBase and CAP theorem
  • Using Scala for writing Apache Spark applications
  • Detailed study of Scala and the need for Scala
  • The concept of object oriented programming and Executing the Scala code
  • Programming and anonymous functions
  • Bobsrockets package and comparing the mutable and immutable collections
  • Scala REPL and Lazy Values
  • Control Structures in Scala
  • Directed Acyclic Graph (DAG)
  • First Spark application using SBT/Eclipse
  • Spark Web UI and Spark in Hadoop ecosystem
Section 9: Spark framework
  • Detailed Apache Spark and its various features
  • Comparing with Hadoop
  • Various Spark components
  • Combining HDFS with Spark and Scalding
  • Introduction to Scala and importance of Scala and RDD
Section 10: RDD in Spark
  • Understanding the Spark RDD operations and Comparison of Spark with MapReduce
  • What is a Spark transformation
  • Loading data in Spark
  • Types of RDD operations viz. transformation and action and What is a Key/Value pair
  • The detailed Spark SQL
  • The significance of SQL in Spark for working with structured data processing
  • Spark SQL JSON support
  • Working with XML data and parquet files
  • Creating Hive Context
  • Writing Data Frame to Hive
  • How to read a JDBC file
  • Significance of a Spark Data Frame
  • How to create a Data Frame
  • What is schema manual inferring
  • How to work with CSV files
  • JDBC table reading
  • Data conversion from Data Frame to JDBC
  • Spark SQL user-defined functions
  • Shared variable and accumulators
  • How to query and transform data in Data Frames
  • Data Frame execution engine
Section 11: Machine Learning Using Spark (MLlib)
  • Introduction to Spark MLlib
  • Understanding various algorithms
  • What is Spark iterative algorithm
  • Spark graph processing analysis
  • Introducing Machine Learning
  • K-Means clustering
  • Spark variables like shared and broadcast variables and what are accumulators
  • Various ML algorithms supported by MLlib
  • Linear Regression and Logistic Regression
  • Decision Tree and Random Forest
  • K-means clustering techniques, building a Recommendation Engine
Section 12: Real-time project training
  • Hadoop project environment setup
  • Real-time Hadoop project
  • Project demonstration
  • Expert evaluation and feedback
Section 13: You made it!!
  • Spark Databox Hadoop certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counseling to guide you to a right path in Hadoop development career

About course

The best Hadoop online course is here. Our expert trainers at Spark Databox are here ready to guide you and launch your career. Hadoop online Training is intended to give you a certified Hadoop profession by equipping you productive hands-on training on Hadoop Ecosystem. Hadoop online training certification training is an excellent way to your Big Data drive, and you will perceive the possibility to work on multiple Hadoop projects. Hadoop Online Training will help you learn and understand MapReduce Concepts explained by our industry experts. This training will also help you learn on handling the Apache Hadoop ecosystems like Hive, Pig, and HBase with real-time Project training. This course gives you a clear understanding of how to develop a Hadoop application using the appropriate frameworks for the suitable Apache Project ecosystem in a real-time situation. This practice will help you to develop your own custom application. We designed this course in order to adhere to the current industry standards. We ensure that the candidates who are not familiar with enough technical knowledge can also learn & shine in this Hadoop training.

Understand about Hadoop ecosystem and core components
Understand how to formulate HDFS/MapReduce applications
Understand how to write and utilize effectively Hive & Pig Scripts
Understand fundamentally how the management role is even manipulated for a batch structure
Understand how to address and use completely Flume and Zookeeper tools
Learn thoroughly on the internal design involved on all the Hadoop platforms
Learn how to intensify your coding skills using HBase and Sqoop tools
To understand thoroughly how real-time projects match the big data platform
Learn to write HDFS & MapReduce framework programs, Hive & Pig Scripts
Comprehend the boundaries of Big Data and how Hadoop can resolve those problems
Hadoop is one of the progressing and most assuring fields, counting all the technologies accessible in the IT sector presently. To be benefitted from these shots, you require an organized training with the most advanced schedule as per modern industry demands and best practices. Besides sound academic knowledge, you demand to work on multiple real-world Hadoop projects applying distinct Hadoop tools as a part of the explication approach. Among all, you lack the supervision of a Hadoop specialist who is currently operating in a similar industry on real-world Hadoop projects and overcoming everyday hurdles while implementing the particular plan.
Anyone who wants to start their big data carrier can pursue Hadoop online training course, especially the following:
Software Developers
Project Managers
Software Architects
ETL Developer
Data Warehousing Professionals
Data Engineers
Data Analysts
Business Intelligence Professionals
DBAs and DB professionals
IT Professionals
Testing professionals
Mainframe professionals
And fresher’s wishing to develop a career in Hadoop sector

Apache Hadoop:  
HDFS core concepts
Hadoop ecosystem
Utility commands
Architecture flow 

MapReduce Framework:
Data types
MapReduce program execution

Additionally, you will acquire performance-enhancing of accomplished MapReduce jobs, Apache Hive, Apache Pig, Apache Sqoop, Apache HBase, Apache Zookeeper, Apache Flume, and Apache Pig

There are no specific prerequisites for Hadoop Online Course. But previous knowledge of Core Java and SQL will be beneficial.
Each Live Project we influence you to attempt amid the course makes you a stride nearer to being a pro IT proficient. With extraordinary project support, undertaking ventures for learners is never an overwhelming errand at Spark Databox

Introduction to Hadoop

Hadoop is open-source software, open for anyone to use, that can be climbed for use with modest datasets on few computers to huge ones using large bunches of computers. The advantage of Hadoop is that it is devised to identify and assess for hardware malfunctions. It improves the processing capacity to possible resources, thus reducing the downtime. The Hadoop software library is detailed and supported by The Apache Hadoop project, and significant organizations throughout the globe use the software for both private and customer applications.

With Hadoop, we can look for data, operate with record files or index data derived from web crawlers, examining images and videos, and managing Big Data. Therefore, if you hold a massive volume of (terabytes) data, or you need to store only text file, binary files, modified versions of the same data, then Hadoop is the perfect solution as it is resilient and an excellent option to process data accurately. So, join in Hadoop online training course now and obtain the best Hadoop training.

When you enroll for Hadoop training, you will be learning either MapReduce or Apache Spark in the training. This will be processed in any Hadoop online course training.

So, the difference between Hadoop and Apache spark is:

Apache Spark 
The processing speed of Apache Spark is much faster than that of Hadoop.
The computational rate is slow in Hadoop as it reads and writes the language from the disk
Apache Spark is proficient in handling batch, machine learning, and all streaming actions in the very quantity.
Hadoop is capable of handling only the batch.
Apache can process real-time data. 
Hadoop is good to handle a large volume of data but not the real-time data.

Data analytics involves the processing of current data and offer judgments by following the analytics of those data. Essentially, it is a method to procure insights from a considerable quantity of data.
Big data Hadoop involves a massive amount of data (structured, semi-structured, and unstructured that we obtain from the various digital factor like social media, e-commerce websites, internet, etc.) which includes a set of data. However, it can’t be processed utilizing conventional techniques.

Hadoop Exam & Certification

At the end of the Hadoop online training course, candidates are supposed to work in real-time project with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project.

Hadoop is the most actively progressing and the most hopeful technology for managing vast amounts of data for performing data analytics. This Hadoop online training will assist you to stand up and to work in the utmost professional abilities. All top Multinational companies are trying to get into Big Data Hadoop; therefore, there is a great need for certified Hadoop professionals. Our Hadoop online training will assist you in learning and improving your career in the Big Data Hadoop domain. Hitting the Hadoop certification from Spark Databox can place you in a distinct group when it develops to demanding for the best jobs. Spark Databox’s Hadoop online training course has been designed with a full focus on the practical perspectives of Big Data Hadoop.
All of our profoundly qualified trainers are industry experts with at least 12-15 years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved to the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
Once you complete the Hadoop Online training course, you will be awarded the most valuable Spark Databox’s Hadoop certificate which is recognized by companies all over India. If you wish to pursue external certification, We are happy to help you in every possible way. There are four different types of Hadoop Certifications available:

Cloudera Hadoop Certification
Hortonworks Hadoop Certification
MapR Hadoop Certification
IBM Hadoop Certification
As long as you get cleared, you are permitted to try the test. However, our Hadoop online training courses are educated with the professional experts that our candidates will pass the Hadoop exam with good score. But, in the chance of failure, you have to pay over the certification again to retake the course exam. However, we advise you to be dedicated to the training course and work on your doubts before you arrive on the exam.
If you slip external certification, in the first attempt, you can retake the exam after 30 days by paying the reattempt fees.

Job Opportunities

Top companies are seeking investment in Hadoop and are choosing Hadoop to save & analyze data. Therefore, the demand for Hadoop jobs is also multiplying. If you are fascinated to pursue a bright career in Hadoop field, this is the best time, to begin with, Hadoop online Training.
We have gathered a comprehensive index of blogs and free tutorials to aid beginners who are striving to learn and master Hadoop. Once you are all done with learning the basics and setting a strong foundation, the online training certification will get you a master of Hadoop.
Gigantic Job Opportunities: There is an immense difference in demand and the number of skillful Hadoop professionals across the globe.
A rise in Salary: The wages for qualified Hadoop professionals is boosting increasing by the day due to the influential demand.
A High Priority to Data Analytic Tool: Hadoop is a top priority data analytic tool for several companies. The majority of businesses consider that the tool boosts the performance of their organization to a great extent. The companies use the Hadoop to get insights into their sales and production.
The Growth of Unstructured and Semistructured Data Analytics: There is massive growth for unstructured and semistructured data analytics. Several organizations are processing and examining unstructured data sources, including social media, e-mail, photos, video, and weblogs.
Selection of Big Data Analytics is Evolving: New technologies are now realizing it more comfortable to perform more complex data analytics on massive and different datasets. Most of them are currently working some high-level analytics on Big Data Hadoop, for Business Intelligence, Predictive Analytics, and Data Mining Tasks.

Hands on knowledge and experience in composing MapReduce operations
Writing manageable, stable and high-performance code
Should hold good analytical and problem-solving abilities
Understanding of data loading tools such as Sqoop
Knowledge and understanding of additional Hadoop concepts such as Hive and HBase
Having Knowledge on Concurrency and multi-threading concepts
Should be ready to write Pig Latin Scripts
Knowing Hadoop development and implementation
Advancing in security and data privacy
Understanding HBase administration and deployment
Recommending best standards and practices

Spark Databox Placement assistance

Hadoop Certification Online Training is designed in a way that is placement oriented. There is the relevance of Hadoop, you will get a suitable route for placements. Spark Databox trainers will accompany you here. Our Placement Oriented Training is one of the most important elements of Hadoop Online Training Course.

At Spark Databox, we have a dedicated team possessing extensive network connections with top companies all over India and in the US. Upon completing the course, your profile will be marketed. With industry partners on-board, we will assure you have all the support you require to secure a job.
Yes, Spark Databox will guide you through in preparing your resume. With the team of experts, your resume will be powerfully written which will offer you a significant advantage over other job applicants. At Spark Databox we know how companies will look at your resume.
Spark Databox’s Hadoop certificate is widely recognized by companies all over India. Acquiring a certificate from Spark Databox will give you an unprecedented advantage over other job applicants.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
20-Dec-19 17-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.


It was a wonderful experience and learning Hadoop from Spark Databox. They have skilled trainers who are very helpful in solving all my doubts. Many thanks to my trainer and Spark Databox!

software engineer

I learnt Hadoop from Spark Databox. I would say this is the best institute for Hadoop. They provide a wonderful lab facility through which we could practice our hands-on while learning. Thanks, Spark Databox!!

Bigdata Engineer

Hi All, I recently attended Hadoop training from Spark Databox online. The team is very genuine and followed a proper schedule. I would able to complete my training in time. Thanks to my trainer.

Big Data Engineer

Thank you Spark Databox and team for the wonderful training. I greatly enjoyed my Hadoop training with Spark Databox and learned to so much. The trainer is really good and helpful.

Vidhu Kumar
Software Engineer

I found Spark Databox through one of my friend who already attended training. Initially, I attended a free demo class for Hadoop. I felt very satisfied after the demo class and hence enrolled for the Hadoop training. Throughout my training, the trainer is very helpful and the lab facility provided by Spark Databox lab is simply awesome.

Software Engineer

Hi, I am Rathi from Coimbatore. After taking a break in career, I was hopeless to get into Software Industry as I was not updated with the latest technologies and concepts. After attending Hadoop training from Spark Databox, I got full confidence to get my desired job. Thank you Spark Databox and special thanks to my trainer.

Software Engineer

Hey Guys! This is Mithun, Associate Software Engineer working in a Software firm. I would say I got this Software job only after attending my Hadoop training from Spark Databox. Thanks to my trainer for the wonderful training.

Associate Software Engineer

I attended Hadoop training from Spark Databox online training institute. Best online training and best trainer. Free cloud lab service along with the training helps to practice hands-on exercises. Thank you Spark Databox.

Software Developer

After taking a career break of a year, I was very confused and how to choose my job. After getting clear ideas from the Spark Databox coordinator, I have decided to learn Hadoop online course from Spark Databox and which helps me to get my desired Software job.


I have attended Hadoop online training from Spark Databox recently. I was assigned a personal online trainer and he is such a nice person who helps me to understand all the concepts of Hadoop. Thank you Spark Databox and special thanks to my trainer.

Kaushik Kumar
Software engineer


All courses are designed for 50 hours approximately, but differs on case by case.
No issues even if you miss a live Hadoop session. Every session will be recorded, and access will be provided to all the videos on Spark Databox’s state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience.
Training guidance has developed with the advance of technology over the years. Online training scores accessibility and quality to the training mode. With 24×7 assistance system, our online learners will always have some guide to help them even after the session expires. This is one of the great forces to ensure that the candidates accomplish their end learning goal.