Hadoop Training in Kolkata
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A lot of data Hadoop is an open-source software framework developed for the storing and processing of huge amounts of data on commodity hardware clusters. The massive amount of data Hadoop Training in Pune provides a platform that enables data distributed processing across clusters for computation using simple programming models known as Map Reduce. We give instruction that is completely practical. We provide over 200 tasks, proof-of-concepts, and real-time projects.
Preview Course Video
- 40+ Hrs Hands On Training
- 2 Live Projects For Hands-On Learning
- 50 Hrs Practical Assignments
- 24/7 Students
Online Classroom Batches Preferred
20- May- 2024
Monday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
15- May- 2024
Wednesday (Monday - Friday)
Weekdays Regular
08:00 AM (IST)
(Class 1Hr - 1:30Hrs) / Per Session
18- May- 2024
Saturday (Saturday - Sunday)
Weekend Regular
11:00 AM (IST)
(Class 3hr - 3:30Hrs) / Per Session
18- May- 2024
Saturday (Saturday - Sunday)
Weekend Fasttrack
11:00 AM (IST)
(Class 4:30Hr - 5:00Hrs) / Per Session
Can't find a batch you were looking for?
₹18000
₹14500
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Top Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- HBase, Mahout
- Spark MLLib
- Solar, Lucene
- Zookeeper, Oozie
Hadoop Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Hadoop Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
To Self-placed Learning -
Placement Assistance
To Build Your Career
Top Companies Placement
- Designation
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Annual SalaryHiring Companies
Hadoop Course Curriculam
Trainers Profile
Pre-requisites
Syllabus of Hadoop Course in Kolkata 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
Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- In our mock interviews will be conducted by industry best Hadoop Training in Kolkata experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
Hadoop Training Objectives
- Hadoop jobs remain in high demand; this implies undeniable! As a result, there is an essential requirement for IT specialists to visit popular by Hadoop and Big Data technologies. Apache Hadoop enables you to change your job and provides yourself some next benefits: Fast progress in one's career.
- Big Data's Proclivity The Hadoop market is growing and gives no signs of decreasing down. Because of Hadoop, productions can now store any of the data produced at their businesses at a low cost. Hadoop supports the industry in understanding their customers' behavior, buying priorities, i.e. what they liked the most, and click patterns, among other things. Hadoop personalizes advertisement targeting points and provides personalized support.
- Companies make thousands of petabytes of data every day, so there exists a huge need for Big Data professionals. Even after a few years, Hadoop order is regarded as a must-learn skill for data scientists and Big Data Technology professionals. Corporations are spending heavily on it, and it will display a highly sought-after skill in the future.
- 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.
- The course is made from each theoretical & sensible category that teaches the fundamentals of each module developed by high-intensity sensible gatherings of finishing each module that combined current requests and wishes of the business which will require the students’ time and commitment.
- There are several benefits from following internet course, a schoolroom coaching, or possibly e-books do also available.
- Hadoop coaching by Placement in Kolkata has remained actively involved in 100 percent Job Placement help as continued service within the Technical Program. By the backup of a complicated coaching program also period business comes, we've got a steady and growing job Placement also Track knowledge.
- Immediate employment possibilities once this completion of the Hadoop Course in Kolkata.
- Active coordination among students of the stage obtaining Expert CV/Resume to attend interviews and obtaining employment in high MNC.
- Preliminary preparation guarantees that our students stand able to perform by confidence in interviews yet it was their 1st Interview.
- To perform statistical and statistical analysis at large data sets, you need code. Python, R, Java, and C++ are just some of the languages you should spend time and money learning. The more you know, the better, but keep in mind that yourself make not have to get every language available. Every IT professional instructions show you that if thou know one language well, you container quickly learn the others. Hands-on experience by these languages and programming instructions aid your learning process. Finally, creating a programmer mind help you become a good big data analyst.
- In-depth knowledge of Big Data including Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce.
- Comprehensive knowledge of diverse plants that emerge in the Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
- The ability to ingest data into HDFS managing Sqoop & Flume, and check the large datasets obtained in the HDFS
- The vulnerability to various real-world industry-based ideas will be made in Learnovita.
- Sketches that are unconventional consolidating complex data sets of different jobs so as investment, telecommunication, informative fortunetellers, guarantee, including e-commerce.
- The uncompromising performance of a Hadoop specialist completely the Big Data Hadoop Training to define industry patterns and several reliable opinions.
- For learning Hadoop, basic computing information is needed. A number of the simpler to grasp the course: Programming Skills, SQL information, Linux. Hadoop and large knowledge is Relevant for Professionals from varied Backgrounds. A background in any artificial language are going to be useful — C, C++, PHP, Python, PERL, .NET, Java, etc. If you don’t have a Java background.
- It gives huge storage for any quiet information, monumental process power, and also the capability to manage just attending countless simultaneous assignments or jobs.
- Yes, Enroll with our course and you will be trained by 10 years experienced trainers and once you complete the training we provide you placement and also course completion certificate.
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Exam & 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 Kolkata. 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 Kolkata 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.
Recently placedstudents
It was a great learning experience. LearnoVita Hadoop Training in Kolkata Trainers had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank the Training & Placement Cell for the constant support
Sandeep Kumar D
Software Engineer, Cisco Systems )
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.
Vinoth P
UI Developer, TCS
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers from this Hadoop Course in Kolkata. It is dream come true, being an IT engineer
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
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.
Pranav Srinivas
Software Testing, Capgemini
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.
Prasanna
SAP Admin, HCLHadoop Course FAQ's
LearnoVita Offers a good discount percentage for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how the classes are conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors from Hadoop Classes in Kolkata are working professionals from the Industries, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
- LearnoVita Best Hadoop Training in Kolkata will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course from LearnoVita Best Hadoop Course in Kolkata, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita is the Best Hadoop Training Institute in Kolkata Offers mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated Hadoop certification training in Kolkata, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Hadoop Online Course, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
- We will reschedule the Hadoop classes in Kolkata as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Hadoop batch to 5 or 6 members
Learning Hadoop can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Hadoop. Mastering Hadoop can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average salary of Hadoop Developer in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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