Hadoop Training in Trivandrum
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Data Hadoop training teaches you all you need to know about the Hadoop Ecosystem and Big Data. Working on Big Data Hadoop Projects allows you to learn Sqoop, HDFS, MapReduce, Hive, and Pig Flume. a lot of data Experts in the field have created Hadoop training. This finest Hadoop certification teaches you all you need to know about Hadoop Ecosystem tools and Big Data. We also provide real-time training with 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
-
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 Trivandrum 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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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 Trivandrum 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
- Assuredly Yes. Hadoop professions are in demand – this is an indisputable fact! Hence, there is an immediate need for IT specialists to keep themselves in course with Hadoop and Big Data technologies. Apache Hadoop gives you midpoints to ramp up your profession.
- It is hence both quick and profitable to look for a career in Hadoop as a software developer. The strong association, business support, and obtaining a reputation among programmers point that Hadoop is set to visit the greatest event for most businesses. Start to Increase Your Profession with Advanced Hadoop Training in Trivandrum.
- If you're a underclassman there's a large scope if you're good in Hadoop. Amongst the open supply framework, there's nearly no other alternative which can touch upon petabytes of knowledge as Hadoop can. In 2015 it was absolutely foretold that the Indian Hadoop trade can grow unto five times within the analytics center.
- Big knowledge may be a booming trend without delay and plenty of developing start-ups are hiring freshers on Hadoop. Recently MNC’s like TCS and other have conjointly started hiring folks on huge knowledge domain.
- Oracle and Hadoop are different theories of collecting, processing, and regaining information DBMS and RDBMS are in the literature for a great period whereas Hadoop is a different theory comparatively.
- As the area limits and client data area are grown enormously, preparing this information in a reasonable amount of time shifts essential.
- Particularly when it comes to data warehousing applications, business intelligence recording, including various analytical processing, it displays so challenging to perform complex reporting within a reduced amount of time as this area of this data increases exponentially because well of these increasing demands of consumers to complex review also coming.
- Analytical abilities.
- Data visualization abilities.
- Knowledge of the Business Domain and Big Data Tools.
- Programming abilities.
- Problem-Solving Ability.
- SQL stands for Structured Query Language.
- Data mining abilities.
- Familiarity with technological systems.
- The answer to this question depends on your ability and the courses you have enrolled yourself in. If you have the prerequisites to learn Hadoop, you can easily master the topic in a few days. If you want to learn Hadoop from scratch, it can take two to three months to master it.
- There is no previous experience in Hadoop.
- Fundamental programming knowledge, although not a requirement to attend this course, is also desirous of fundamental knowledge about the Microsoft Windows platform.
- However, we can give you a more sophisticated project, based on your skills, if you are already exposed to Hadoop.
- Programming Developers and System Administrators.
- Experienced working experts and Project Managers.
- Large Data Hadoop Developers anxious to learn different verticals like testing, investigation, and organization.
- Centralized server Professionals, Architects, and Testing Professionals.
- Business Intelligence, Data Warehousing, and Analytics Professionals.
- Graduates and students anxious to learn Big Data.
- In-depth data of Big data and Hadoop together with HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce.
- Comprehensive data of assorted tools that fall in Hadoop systems like Pig, Hive, Sqoop, Flume, Oozie, and HBase
- The capability to ingest knowledge in HDFS using Sqoop & Flume, and analyze those large datasets keep within the HDFS
- The exposure to several real-world industry-based comes which can be dead.
- Projects that are various cover many data sets from multiple domains like banking, telecommunication, social media, insurance, and
- e-commerce Severe involvement of a Hadoop professional throughout the large data Hadoop training to learn trade standards and best practices
- On every of the foremost necessary motivating reasons to learn big data Hadoop is that the undeniable fact that it brings an array of opportunities to bolster your career to a new level.
- As additional and additional firms address big data, they're more and more searching for experts Who will interpret and use knowledge.<
- Global Hadoop market to reach $84.6 billion in two years – Allied Market Research
- The number of jobs for all the US Data Professionals will increase to 2.7 million per year – IBM
- A Hadoop Administrator in the US can get a salary of $123,000 – Indeed
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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 Trivandrum. 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 Trivandrum 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 Placed Students
It was a great learning experience. LearnoVita Hadoop Training in Trivandrum 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 Trivandrum. 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 Trivandrum 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 Trivandrum 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 Trivandrum, 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 Trivandrum 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 Trivandrum, 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 Trivandrum 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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