Big Data Hadoop Training Course in Noida
Big Data Certification
Certification will be delivered as per Industry criterion for Big Data Hadoop training which would benefit fresher/Experienced to up-skill at Corporate.
Experienced Faculty
Professional & expert Sr. Lead Analyst / Technical Analyst Trainers With 10+ Years of working experience will deliver the workshop sessions.
Placement Assistance
When 70% of Big Data Hadoop training will be completed of learners then devoted placement team will start to process of scheduling your interviews.
Lab Facility
Expand your proficiency with extreme aligned of Corporate with set of technical test series with practical session to glaze your potential.
Bigdata Workshop
Learners will grasp real time & practical training sessions with thorough case studies & workshops at SLA Noida
Admin Support
Will get 7 Days assistance for upcoming batch schedule/re-scheduling classes/arrange or ask to arrange a backup or doubt sessions
Big Data Hadoop
Big Data Hadoop Programme Modules
Big Data Hadoop Certification Training Modules
Module 1 - Introduction to Hadoop and Big Data
- Big Data Overview
- How to Process Big Data?
- What is Hadoop?
- Features and Elements of Hadoop
- Uses of Hadoop
- Hadoop Ecosystem
- Data Analytics Structure
- Rdbms Vs Hadoop
- Installation and Configuration
Module 2 - Hadoop Distribution File System
- Importance Of Hdfs
- Hdfs Features
-
Daemons Of Hadoop
- Name Node
- Data Node
- Secondary Name Node
- Job Tracker
- Task Tracker
- Hadoop 2x Configuration Files
- Data Storage In Hdfs
- Accessing Hdfs
- Fault Tolerance
- Hdfs Federation
Module 3 - Map Reduce and Its Features
- Understand Hadoop Mapreduce Framework
- Working With Mapreduce In Hdfs
- Concepts Of Input Splits, Combiner And Partitioner And Demos In Mapreduce
- Traditional Wav S Mapreduce Way
- Why Mapreduce
- Hadoop 2x Mapreduce Architecture And Components
- Yarn Workflow
- How Mapreduce Works
- Mapreduce Algorithms
- Writing Mapreduce Program
- 3mapper And Reducer
- Input And Output Format In Mapreduce
- Data Localization
- Hadoop I/O
Module 4 - Pig
- Understanding Pig
- Pig Use Cases
- Pig Vs Mapreduce
- Pig Scripting And Running Modes
- Programming Structure In Pig
- Data Types In Pig
- Execution Modes In Pig
- Loading Data And Exploring Pig
- Latin Commands
Module 5 - Hive
- Learn About Hive Concepts
- Data Types In Hive
- Loading And Querying Data In Hive
- Hive Scripts And Udf
- Hive Vs Pig
- Hive Architecture And Components
- Partitions And Buckets
- Hive Vs Rdbms
Module 6 - Hbase
- Introduction To Hbase
- Advanced Hive Concepts
- Hbase Architecture And Design
- Hbase Vs Rdbms
- Read And Write Pipeline
- Hbase Commands
- Hbase Shell
- Client Api And Data Loading Techniques
- Zoopkeeper Service
Module 7 - Data Integration with Sqoop, Talend and Flume
- Hadoop Integration
- Introduction to Talend
- Loading Data From Rdbms Into Hdfs Using Sqoop and Talend
- Managing Real Time Data Using Flume
- Other Important Data Analysis Features with Hadoop Elements
Module 8 - Hadoop Project and Oozie
- Solving Big Data Issues
- Discussing Data Sets
- Live Training Under Expert Supervision
- Module Wise Assignments
Please find the course details.
Duration of Module
Course Module | Course Duration |
---|---|
Big Data Hadoop | 50 – 60 (Hours) |
FAQ
Is there any eligibility criteria for joining the course?
Except having a graduation degree in the IT field, there is no prerequisite to join the Big Data Hadoop Training in Noida. Although it will be highly beneficial for the candidate to have some sort of programming knowledge or database knowledge, still it is not mandatory.
Why it is necessary to attend Big Data Hadoop training?
Hadoop is a reliable application which can help in storing, managing and analysis of a large amount of data which is generated on a regular basis by the business organization. This is why attending Big Data Hadoop Training Course can be beneficial for your career as it will give you essential skills in Big Data Processing using Hadoop framework and help you extract important information from a structured and unstructured data useful for the management to take the right decision.
If I cancel my registration, will I receive any refund?
Yes, if you are not satisfied with our Big Data Hadoop Training Course and want to cancel your registration, then you will be provided with a full refund after deducting a small service fee.
Who should join the Big Data Hadoop training Noida?
The Big Data Hadoop Training is specifically targeted towards Aspiring data, Data Architect, Business Intelligence professionals, Data Scientist, Hadoop developer, Hadoop architect and administrator, database tester, etc.
Will the certification in Big Data Hadoop help me get a job?
The valid Certification in Hadoop provided at the end of the Big Data Hadoop Training will certainly help you in your career as it will build your resume and attract the attention of the recruiters towards your profile. It will help you gain the competitive edge over other candidates during the interview.
I would like to learn more about the Big Data Hadoop course. To whom should I contact?
If you have any more doubt or queries regarding the big data Hadoop training course Noida, then you can simply we give us a call at +919999491958, +919999340200, +919999491895, 011-47519207, +917836023222, +919350319190 or send us an email at hr@slaconsultantsindia.com
Testimonials
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From my point of view, I’ll strongly recommend SLA Consultants, Training Institute for Analyst courses. I am pursuing my Data Analyst Course from the institute under the guidance & knowledge of Data Analyst trainers, my two modules (Advance Excel and VBA) of the course has been completed. I must say, they have good training faculty, as well as have the great infrastructure for learning and practicing.
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I strongly recommend SLA Consultants – Training Institute for doing courses. I am pursuing my Data Analyst course in SLA Institute, Head Office, till now my two modules(Advanced Excel and VBA) have been completed. Its been good experience with a trainer, as they shared me a lot of knowledge in brief. At institute the trainers and admin staff is good.
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