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Best BigData HadoopTraining Institute in Chennai with Certifications

Green’s technologies, Chennai offers Best BigData Certified training with hands-on experience at reasonable prices. Looking for Hadoop Training in Chennai with Certification and Placements ?

Learn Hadoop developer, Hadoop administrator, Hadoop testing courses with India’s #1 ranked Hadoop training and placement institute with real world projects and extensive job placement support, all designed to help you become a Hadoop Architect.

Most comprehensive Online Hadoop Training using HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Attend this Hadoop Certification Training Course in our Classroom or Instructor-Led Online Training.

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Hadoop Training in chennai

One to One Training

Get 1-to-1 Live Instructor Led Online Training in flexible timings

Course Price at: ₹ 21,000
Discount Price: ₹ 18,000

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Course Price at: ₹ 18,000
Discount Price: ₹ 15,000

Key Features

  • 45+ hrs of Duration
  • Free interactive Demo
  • Industry experts as Trainers
  • online/Offline Training
  • Cent percent Course completion rate
  • Cent percent Placement Assurance
  • 24 x 7 Support
  • Real time Hands-on Training
  • Course Completion Certification
  • online/Offline Training

Why BigData ?

Big Data industry in recent years obtained a remarkable growth and recent surveys have estimated that the Big Data market is more than a $50 billion industry. Gartner survey has confirmed that 64% companies have invested in Big Data in 2013 and the number keeps increasing every year.

With the challenges in handling and arriving at meaningful insights from Bigdata, opportunities are boundless for everyone who wants to get into Big data Hadoop ecosystem. Software Professionals working in outdated technologies, JAVA Professionals, Analytics Professionals, ETL Professionals, Data warehousing Professionals, Testing Professionals, Project Managers can undergo our Hadoop training in Chennai and make a career shift.

Our Big Data Training in Chennai will give hands-on experience to you to meet the demands of industry needs.

Upcoming Batches - Big Data Hadoop Certification Training Course LIVE Schedule: Limited Enrollments

Can’t find a batch you were looking for?  

Hadoop Course Overview


Hadoop Training in chennaiIn this hands-on Big Data Hadoop training course, you will execute real-life, industry-based projects using Integrated Lab. This is an industry-recognized Hadoop certification Classes that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop Tester and analytics using Apache Spark.

Our Hadoop certification training course lets you master the concepts of the Hadoop framework, preparing you for Cloudera Certified Associate (CCA) AND HDP Certified Developer (HDPCD). Learn how Hadoop Ecosystem components fit into the Big Data Analytics Lifecycle.

What will you learn in this Hadoop online training?


  • Hadoop Certification Training
  • Hadoop Administration Certification Training
  • Apache Spark and Scala Certification Training
  • Python Spark Certification Training using PySpark
  • Apache Kafka Certification Training
  • Splunk Training & Certification- Power User & Admin
  • Hadoop Administration Certification Training
  • ELK Stack Training & Certification
  • Apache Solr Certification Training
  • Comprehensive Pig Certification Training
  • Comprehensive Hive Certification Training
  • Comprehensive HBase Certification Training
  • MapReduce Design Patterns Certification Training
  • Mastering Apache Ambari Certification Training
  • Comprehensive MapReduce Certification Training
  • Apache Storm Certification Training

This Big Data Analytics Certification Courses in Chennai is taught keeping the careers of aspirants in mind. It will move along from introducing you to Popular Big Data Analytics Courses

  • Hadoop and Spark Developer
  • MongoDB Developer and Administrator
  • Apache Scala and Spark
  • Apache Kafka

If an aspirant is new to the IT field, wants to learn and update Big data, and want to pursue a career in Analytics or if an aspirant wants to make a career move from a different technology, this course is just apt. In this course, our trainers would guide  you by providing the most practical things required to get and survive a Big data job.

Below mentioned aspirants can learn Big data course:

  • Any college fresher/graduate can learn Big data training program.
  • Any experienced professional from any other field who wants to switch career into Big data,
  • Any experienced professional, who wants to upgrade themselves to learn  advanced tactics and  to work efficiently and smartly in this field.
  1. Highly Interactive: All of our sessions are highly interactive as we encourage brainstorming sessions.

  2. Curriculum:  Our Syllabus is designed in such a way that it is up to date with the market trend. Hence we not only teach the conventional topics but also the upgraded versions to align ourselves and our students with IT industry pattern.

  3. Practical sessions: We believe in a practical approach and hence after every session we give  assignments in a way that students will get to apply the theory  immediately.

  4. Soft skills:  Emphasis is given on verbal and written communication skills as well ,as we believe in all round expertise.

  5. Resume Preparation and Interview readiness: We have a dedicated team who works on building your resume effectively and make you ready for interviews through mock interview practices.

  6. Support Team: Our  support Team will be in touch with you even after your course is completed via emails for further assistance.

Book now for a free demo session to gauge yourself the quality of this Big data training course that is offered at most affordable price.

We strongly believe in providing  personal/Individual attention to each and every student in order to make them an efficient Big Data Engineer. Hence we keep the batch of minimum size.

  • Training program provided by experienced working professionals who are a expert in Big data field.
  • Instructor-led LIVE training sessions
  • Curriculum designed by taking current Hadoop and Spark technology and the job market into consideration.
  • Practical assignments at the end of every session
  • Emphasis on live project work with examples
  • Resume preparation guidance session by dedicated team.
  • master Hadoop Administration with 14 real-time industry-oriented case-study projects.
  • Interview guidance by conducting mock interview sessions.
  • Job placement assistance with job alerts until you get your first job
  • Free Hadoop and Spark study material accessible.
  • Video recordings available to revise training.
  • Support for passing the Cloudera CCA Spark and Hadoop Developer Certification (CCA175) exam with our premium question bank
  • Course completion certificate (on request)
  • Any college fresher/graduate can learn Big data training program.
  • Any experienced professional from any other field who wants to switch career into Big data Analytics
  • Any experienced professional, who wants to upgrade themselves to learn  advanced tactics and  to work efficiently and smartly in this field.

Become a Cloudera certified big data professional. The right certification can help you rise up in the ranks. These responsibilities are integral to the success of an organization, and achieving a respected certification helps you prove you've got the chops to handle the job.

Below mentioned are the two most popular Big Data certifications:

  1. Cloudera Certified Professional (CCP):  The material is verified by certified CCP experts and many students who actually utilized to ace an exam with high scores.

  2. Cloudera Certified Associate (CCA): The CCA is a higher level certification that requires experience before you can apply.

We value your money. Hence we have set  a highly affordable price when compared to other institutes. Definitely our hands-on Placement oriented training program from experienced professionals and Industry experts is better than any other crash courses offered by other institutes. “Not comprising on quality is our motto”. We will use all our resources and expertise  to make you an aspirant an  efficient Hadoop engineer.

Learn Hadoop Training in Chennai at Adyar. Rated as Best Hadoop Training Institute in Chennai. Call 89399-15577 for Bigdata Courses @ OMR, Navalur, Annanagar, Velachery, Perumbakkam, Tambaram, Adyar & Porur.

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Big Data Hadoop Course Content | Duration : 3 Months

Module 01 - Hadoop Introduction

  • Introduction to Big Data
  • Big Data and Its Importance
  • Simple Architecture of Big Data
  • Hadoop 1.0 Architecture
  • Hadoop 2.0 Architecture
  • Big Data Environments
  • Map Reduce Explanation with an example
  • YARN Architecture
  • Installation of Cloudera
  • Setting Up Cloudera environment
  • Sample Config files check in cloudera
  • Interview Process Discussion for Module 1
  • What is Linux ?
  • Linux Basic commands sessions
  • Unix shell Scripting basics and handson
  • Hadoop Basic Commands
  • Hadoop commands Handson
  • Interview Process Discussion for Module 2
  • Assignment -2 ( Involves Liunux and hadoop based tasks)
  • Sqoop Introduction
  • Sqoop Internal Process
  • Sqoop Explanation with Example
  • Sqoop with Eval
  • Sqoop with Split by
  • Handson1 - Eval,SplitBy,Basic Import from MySQL
  • Sqoop Import Properties
  • Sqoop Incremental Import
  • Handson2 - Sqoop Incremental Import
  • Sqoop Incremental last_Modified
  • Handson-3 Sqoop Incremental Append
  • Sqoop Job Creation - Basic
  • Sqoop Job creating Password file
  • Direct Mode
  • Sqoop Import using Shell sripting
  • Sqoop Handson Session -2
  • Sqoop validate Command
  • Sqoop Import into Hive table
  • Sqoop Import All Tables
  • Sqoop Import All Tables Exclude command
  • Sqoop Export Introduction
  • Sqoop Export Internal Process
  • Sqoop Export Incremental load
  • Sqoop Export properties
  • Sqoop Export Transcationality
  • Assignment-3
  • Interview Process Discussion Sqoop
  • Project -1 : Sqoop Unix Shell Based Triggering Pipeline
  • Hive Introduction
  • Why HQL
  • HQL VS SQL
  • Hive Architecture
  • Different Types of Hive metastore
  • Different ways of Accessing Hive
  • Hive Beeline Explanation
  • Different types of Execution Engines in Hive Hive - Hadoop Integration
  • Hive - Tables - Managed and External Tables
  • Hive Internal tables Explanation
  • How to create the Internal tables
  • Hive Internal Table creation on top of Directory
  • Loading Data from a File to Hive table
  • Hive External tables Explanation
  • How to external Tables on dirtectory
  • Difference between Internal and External table
  • Handson - Internal And External Tables
  • Partitions Introduction
  • Static Partition - Load and Insert
  • Dynamic Partitions Insert
  • Handson - Static and Dynamic Partitions
  • Hive Sub partitions Explanation
  • Handson - Sub partitions
  • Bucketing in Hive Explanation
  • Bucketing on INTEGER column
  • Bucketing on String Column
  • Bucketing in Date Column
  • Handson- Bucketing
  • Bucketing and Partition on Same Table
  • Hive Query Optimization
  • Hive built In Functions
  • Views in Hive
  • Hive Sub quires
  • SCD Types Explanation in Hive
  • Implementation of SCD Type 1 in Hive
  • How to remove the duplicates in Hive table
  • Hive Serde Properties Explanation
  • Hive table creation on parquet
  • Hive Table creation on Avro
  • Hive table creation on XML files
  • Different types of Joins in Hive
  • Map side Join In Hive
  • Bucket Map Join in Hive
  • Sort Merge Bucket Join in Hibe
  • Handson - Joins in Hive
  • Hive UDF creation
  • Handson - Handle Incremental Load in Hive through Views
  • Hive Ranking functions
  • Concept of Vectorization
  • Choosing File format in Hive - Industry based
  • Hive MSCK command Explanation
  • Hive Advanced commands
  • ACID Properties In Hive
  • Handson - DML operations in Hive
  • ORC vs Parquet Vs AVRO
  • Interview Session - 1
  • Interview Session - 2
  • Assignment - 3
  • Assignment - 3 Solution
  • Assignment -4
  • Assignment -4 Solution
  • Project 2 - Sqoop Hive Data Process Pipeline Creation
  • Python Introduction
  • Data types in Python
  • Collections in python
  • Python String Interpolation and data interpolation
  • Control statements (IF , While , For ) Python functions python variables
  • Python Map , filter , Reduce
  • Python file handling , Read , Write and Append
  • Python classes and Objects
  • Inheritance and Multilevel Inheritance
  • How to write Wrapper Code in python
  • Spark Introduction Why Spark?
  • Spark Ecosystem Components
  • Spark and mapReduce differences
  • Architecture of Spark
  • Different ways of process the data in Spark
  • Spark Core Introduction
  • What is SparkContext?
  • what is RDD and its importance? what is DAG? RDD Lineage Concept of resilent 
  • Lazy transformations
  • What is transformation in RDD Examples of Transformations in RDD
  • What is actions in RDD ?
  • Examples of RDD Actions
  • Narrow and Wide Transformation
  • How to perform word count processing in Spark Core
  • Spark Submit Introduction
  • Spark Submit Architecture explanation
  • Spark Submit - Stages in Spark
  • Different modes of Spark Submit
  • Spark Submit in Client mode
  • Spark Submit In cluster mode
  • Spark submit in Standalone mode
  • Spark Dynamic memory Allocation of resources
  • Difference between Group By Vs ReduceBy
  • Concept of Accumulators
  • Concepts of Broadcast varibales
  • How to Accumulators and broadcast variables acts as a Optimization techniques in Spark
  • Repartition
  • Coalesce
  • Difference between repartition and Coalesce - Real time scenerio
  • How to increase the parallelism in spark
  • Hands On Document for Spark Core
  • Spark Core HandsOn Session -1
  • Spark Core HandsOn Session -2
  • Concept of Map partition
  • Cache Concept In Detail
  • Units of Caching
  • Different memory Levels in Spark
  • Difference between cache vs persist
  • Concept of Serialization in Spark
  • Java serialization Kyro Serialization why Kyro Serialization is best for
  • Spark?
  • Joins in Spark Core Benefits of Repartitions partitionBy vs bucketBy saving file in various file format
  • Assignment - 5
  • Assignment - 5 Solution
  • Interview Preparation for Spark Core
  • Real time Code preparation for Spark Core in Pycharm using Business Logic
  • Spark SQL Introduction Components of Spark SQL?
  • Data Source API explanation
  • Data Frame Explanation
  • Hive Thrift Service in Spark Explanation Tungsten Memory management in
  • Spark SQL What is SparkSession?
  • Difference Between SparkSession and SparkContext What is Data set?
  • Advantages of Data set?
  • RDD Vs Dataframe Vs Data set
  • Dataframe creation from CSV file format
  • Dataframe creation from JSON file format
  • Dataframe creation from AVRO file format using External Jar
  • Dataframe creation from XML file format using External Jar
  • Dataframe creation from Parquet File format
  • Dataframe creation in spark shell for AVRO , XML using SparkConf property
  • Creating a Dataframe from a file (without schema)
  • Case class using toDF()
  • Create dataframe method with RowRDD and Struct variable
  • Create Dataframe using Schema - Seamless Dataframe
  • Write Modes in Dataframe
  • Dataframe using partitionBy
  • Joins in Spark SQL
  • Usage of BroadCast Join
  • Domain Specific language Operations on Dataframes withColumn in Dataframe DSL operation - Session 1 
  • DSL operation - Session 2
  • Aggregation in Spark SQL
  • Window Aggregations in Spark SQL
  • Complex Data processing - Struct Data processing (JSON) Complex Data processing - Array
  • Data processing (JSON) How to create a Spark UDF ?
  • Spark UDF in Data frames
  • Assignment - 6
  • Assignment - 6 Solution
  • Interview preparation for Spark sql
  • Project 3 – Spark Processing through Web URL and HDFS storage
  • Introduction to Hbase
  • Types of NOSQL Databases
  • Characteristics of NOSQL
  • CAP THEOREM
  • Why Column Based Storage is highly preferred than Row Based
  • RDBMS vs Hbase
  • Storage Hierarchy in HBASE
  • Hbase Architecture
  • TABLE design HBASE
  • What is column family in Hbase ?
  • Hands on Session on HBASE commands
  • How to create the Hbase table
  • How to insert the data into Hbase Table
  • How to scan the data
  • How to enable the table
  • How to disable the table
  • Assignment-5
  • Assignment-5 Solution
  • Project 4 : Sqoop Hive Hbase Spark Data processing Pipeline
  • Spark Hive Integration
  • Spark Hive Hbase Integration
  • Spark hbase Integration
  • Spark Cassandra Integration
  • Spark SQL PULL - RDBMS Spark SQL integration
  • UseCases:
  • How to handle Null values in Spark SQL
  • How to choose the number of executors for a given configuration
  • How to calculate the number of cores
  • How to mask the data for a given Dataframe
  • How to handle error records in Dataframe
  • How to do resource Level optimization
  • When to go for broadcast join and simple join How to handle memory out of exceptions in Spark What is Data skew ?
  • How to resolve Data Skew using Salting technique?
  • Spark Speculative execution Mode
  • How to handle the Ambiquous column in Spark Dataframe
  • How to do the PIVOT in spark SQL
  • Difference between partition and partitioner
  • Hard Coding in Spark Projects
  • What is Pyspark
  • Difference between spark scala and Pyspark
  • Pyspark deployments
  • Introduction to KAFKA
  • Why Kafka?
  • Kafka explanation with real time scenario
  • Kafka Message Queue Components explanation
  • Topic,partition,Replication
  • What is Producer and Consumer?
  • Broker and its importance
  • Controller Broker explanation and its election Use of Zookeeper What is
  • Offset ?
  • what is BootStrap Servers?
  • Installing One Node Kafka cluster locally
  • Introduction to KAFKA
  • Data storage in Brokers
  • Leader Copy in Kafka
  • Follower copy in Kafka
  • Consumer Groups
  • Data Serialization in Kafka
  • Module 16 - AWS In Big Data
  • Why do we go for AWS?
  • Why AWS is the world’s largest cloud provider?
  • Storage services in AWS What is S3 Storage?
  • How to upload the data in S3 Storage?
  • How to process the data that is present in S3 Storage? EMR - Hadoop service in AWS how to create EMR cluster 
  • How to process the data in EMR through Hive? how to create hive tables in EMR on S3 Storage 
  • How to copy the data from S3 to local
  • How to create EC2 Instance
  • How to generate Key value pair

AWS basic commands are required for Big Data processing What is Athena when we go for Athena

About Our Hadoop Instructor


Sai has been working with data for more than 15 years.

Sai specializes in Hadoop projects. He has worked with business intelligence, analytics, Machine learning, Predictive modeling and data warehousing. He has also done production work with Apache Spark on the Databricks cloud and Google Cloud Dataproc and Cloud Datastore.

In the last 10 years, Sai has trained and placed 5000+ students and supported many of his students to switch from non-technical to technical Job

Sai currently focuses on teaching and delivering Individual Placement and Support for all his students. During his training journey, He has taken 300+ batches through different modes (Online, classroom, corporate).

Sai Worked with major IT companies such as British Telecom, Microsoft, Bank of America, as well as several smaller private companies in delivering high-quality training.

Sai has a passion for teaching and has spent years speaking at conferences and delivering Hadoop and cloud technologies online learning content.

Flexible Timings / Weekend classes Available.

Talk to the Trainer @ +91-8939975577

Students Placed
Urvashi

I was a slow learner and was frustrated in life if I could ever get any Job. Then I chose Greens technologies for learning Hadoop as my friend conveyed that they are amazing and can change lives. After joining them I started picking up on each and every topic . I climbed the ladder of success and cleared my training program and Hadoop Certification . And not only that. Today I have been placed as a Big Data analyst in one of the most reputed organizations which I had once dreamt of. Hats off to the trainer and the whole team for being patient enough in solving my queries and guiding me throughout..Always grateful.

Mohammed Ali

Finest Institute for Hadoop training in Chennai. The whole training team gave a detailed explanation of the course. They provided us with training materials and videos which are very helpful. I couldn’t have imagined to clear Hadoop certification without their support. Thank you Greens Technologies”. Special Thanks To the trainer-Mr. Sai Ravi and Greens Technologies Team for helping me not only to complete my certification but also to get job in one of the most reputed MNCs

Somwrita

When I was in a dilemma to choose which course would give me a bright future, Greens Technologies’ counseling team came into rescue. They guided me to take Hadoop training program and helped me to understand how it has become a trending course in the market .I am happy that I listened to them at a crucial juncture of my life and now I am a successful Hadoop Analyst in an MNC. Not to forget I am a certified Hadoop professional earning a fat amount and leading a happy life..Thanks to Dinesh Sir and Sai Ravi Sir..Ever Indebted

Paul

First of all thanks to Greens Technologies for providing a seat for the batch in such a short notice. I have completed the Apache program and got the certificate promptly. The trainer was really helpful in clearing all my doubts and also helped me with few other queries. Thanks for all the support .I really had a wonderful learning experience. Will refer Greens Technologies to all my friends as well,as the promise of Job assurance has been kept by them”. Yes, Happy to share that I am a part of Big Data Analyst team of a leading MNC.

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Pavan Reddy

Hadoop training from Greens Technologies helped me get my first job in Accenture. The process of attending mock interviews along with technical training helped us to boost our confidence levels. Also the staff here is co-operative & they help immediately .As a result of which I was able to clear my certification program too. Thanks to Greens Technologies from the bottom of my heart

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Tamizharasan

The placement officer and the team of Greens Technologies is wonderful. They regularly send me job opening notifications and schedule interviews and Hence I got placed in Infosys.. Thanks to my trainer for giving full support. I am happy doing course with Greens Technologies”. The best thing about them is they not only focus on training program but also emphasize on successful completion of certification.

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Narayana

I had enquired many institutes for Hadoop Training and Certification Program .Cost was bit high, but Greens Technologies offered it for better package. And regarding the course agenda, they are very punctual and sincere. Thanks to the team for helping to complete the certification and also they got me a placement in a reputed organization

What are the pre-requisites for learning Hadoop training?

 As such, there is no prerequisite for undertaking this training. 

However, it is highly desirable if you possess the following skills sets: 


  • Mathematical and Analytical expertise
  • Good critical thinking and problem-solving skills
  • Technical knowledge of Python, R and SAS tools
  • Communication skills

How much time it will take to learn Hadoop course?

It is 2 to 3months of Study, if you take regular classes it will take 45 days or if you go with Weekend classes it will take 4 to 5 weekends.

What is the course fee for Hadoop course?

The course fee for Hadoop course at Green’s Technologies is minimal and highly affordable. We also provide the liberty to pay it in two installments. For the course fee structure, you can contact us at(+91 8939975577). We offer free demo classes and once you are comfortable, you can pay the fees.

What is the admission procedure in Greens Technologies?

To start with, fill the enquiry form in our website or call the counselors at +91 8939975577.

What will be the size of a Hadoop batch at Greens Technologies?

At Greens Technologies, we limit the batch sizes to not more than 5 to 6 students for any course. Providing quality training to each and every individual is our motto.

How would it get adjusted if I miss a session?

Regular attendance is highly recommended by us in order to maintain the regularity .However, due to emergency circumstances, if you miss a session then we would arrange for a substitute class.

What are the different modes of Hadoop training that Greens Technologies provides?

We provide both classroom and online training. Also we provide fast track mode programs.

Will the sessions be only theory oriented?

Not at all. We, at Greens technologies are more focused on providing sufficient practical training and not only theory. We ensure that a student should be able to handle any type of real time scenarios.

Will I be at par with industry standards after course completion?

Ofcourse yes, you will become a Hadoop expert as per the current industry standards. You will be confident in attending the interviews since we provide career-oriented training that covers mock interviews, technical reviews etc.

Is Placement assistance provided at Greens Technologies?

The answer is Definitely yes. We have a dedicated team that ensures that conducts mock interviews, regular technical reviews and assessments .Also soft skills session is provided to boost the confidence levels of each and every students.

How many students have been trained by Greens Technologies up till now?

We have been sustaining in the market from past 10years and have trained several students and placed them in top notch MNCs.We have multiple branches in Chennai ,which provide training to thousands of students.

WHY BIG DATA TRAINING IN CHENNAI AT GREENS TECHNOLOGY ?

Greens Technologies is the one of the premier training institutes in various part of Chennai  with huge expertise and experience in teaching and training. 

Reason to prefer Greens Technologies for best Hadoop training are listed

  • Syllabus : Well curated syllabus designed by the Hadoop experts holding IT companies requirement with both practical and theoretical sessions
    which includes many case studies and real-time projects.
  • Trainers : Well-Skilled working experts with vast indurtail knowledge who had gone technical screening and training with Greens Technologies technical team.
  • Placement support : In Greens Technologies, we have a dedicated team to support and guide placement for our students, engaging them with multiple interviews and guidance to clear each round. Also we support our students in grooming their resume with industry demanded skillset and building their technical skills by conducting mock interview.
  • Flexible Batch : There are also other perk to choose Greens Technologies as Best Hadoop training institute is we provide flexible batch timings to students, freshers and employed professionals.

Learning Outcomes

  • It gives them skills to clear an assessment effectively
  • Improves your Productivity for problem-solving in interview
  • It develops your expertise in completing projects in your current company
  • Boost the reputation of your careers
  • Build Sound decision-making capabilities to get successful in jobs
  • Enhances awareness and expertise and trains you for further tasks.
Take our Demo Class
Try two FREE CLASS to see for yourself the quality of training.
Total Duration: 200 hours

Have Queries? Ask our Experts

+91-8939975577

Available 24x7 for your queries
Course Features
Course Duration 200 hours
Learning Mode Online / Class room
Assignments 60 Hours
Project work 40 Hrs Exercises
Self-paced Videos 30 Hrs
Support 24/7
Certification Cloudera
Skills Covered
  • Hadoop Certification Training
  • Hadoop Project based Training
  • Apache Spark Certification Training
  • Hadoop Administration
  • NoSQL Databases for Big Data
  • CCA175 - Cloudera Spark and Hadoop Developer Certification
  • Spark, Scala and Storm combo
  • Apache Kafka
  • Apache Storm Introduction
  • Apache Hadoop and MapReduce Essentials
  • Apache Spark Advanced Topics
  • Realtime data processing
  • Parallel processing
  • Functional programming
  • Spark RDD optimization techniques
  • Interview Preparation - Questions and Answers
  • Placements