Get best hands-on Big data Hadoop training in Noida

KVCH is a prominent training provider, with hands-on Big data Hadoop training in Noida under the guidance of trained professionals. Hadoop is an open source framework to process humongous amounts of data. We aim to provide expertise training comprising tailor-made modules to the interested candidates. Here, our students get actual industry exposure by training on live -projects and working with qualified professionals. We provide an effective learning experience by providing world-class infrastructure equipped with modern age technologies.

We have a faculty consist of certified trainers who aim to transform learners into skilled professionals. KVCH vouches for the successful future of the candidates with in-depth knowledge of fundamentals and advances knowledge in training in Big data and Hadoop. We believe in training students following recent industry trends, current market methodologies and inculcating in the training programs. The Big data Hadoop training consists of comprehensive concepts of big data and core Hadoop components. The students learn about the Big data architecture, and data storage approaches, the requirement and importance of data analytics and Hadoop clusters.

KVCH is best Big data Hadoop training in Noida, also offering online classroom sessions to the candidates who are unable to visit the training center. Our online classes are instructor lead training with live sessions with the trainers. We offer flexibility to the students regarding the training sessions and construct batches as per their needs. With our Big data Hadoop training candidates can build a strong foundation to start their path of success to become Certified Hadoop Professional. We provide students globally recognized certification and 100% placement assistance. To get further information please visit https://kvch.in/best-big-data-hadoop-training-noida.html 

1. INTRODUCTION OF BIG DATA
   

• Basics of Big data
• Big Data Generation
• Big Data Introduction
• Big Data Architecture
• Understand Big data Problem
• Big data Management Approch
• treditional and Current Data storing approached
• Understand various data formats and data units
• Big data With Industry Requirments
• Big Data Chalanges
  

1. HADOOP ENVIRONMENT
   

• Understand Hadoop Enviorment
• requirment of hadoop
• Importance of Data Analytics
• Setting up hadoop Enviorment
• Hadoop advantages over RDMS
  

1. HADOOP CLUSTER & FILE SYSTEM
   

• Explaining Various file systems
• Hdfs GFS, POSIX, GPFS
• explain clustring methetology
• Master Nodes and slave nodes
  

1. HADOOP FILE SYSTEM (HDFS) & HADOOP ARCHITECTURE
   

• Working on hdfs File System
• Creating lib and accessing lib from HDFS
• hadoop commands make dir, delete dir etc
• working with web console
  

1. HADOOP MAPREDUCE Introduction of Map Reduce
   

• mapreduce programming and word count
• mapreduce nodes job tracker and task tracker
• running Mapreduce program through web console
  

1. HADOOP JAQL Introduction of JAQL Approch
   

• Understand information stream
• Understand Information ocean
• Working with JAQL Language
  

1. HADOOP HIVE
   

• Understand Data Ware Housing
• Requirement of Data Ware housing
• Data Ware housing with Hive
• Understand Hive environment
• working with Hive Query Language
• Perform DDL approach Through Hive
• Perform DML approach through Hive
  

1. HADOOP PIG Introduction of PIG
   

• Requirement of Pig
• Working with pig Script
• Running and managing Pig Script
• Perform Streaming Data Analytics through PIG
• Pig Advantages and Disadvantages
  

1. HADOOP FLUME & SQOOP
   

• Understand Flume methodology
• Requirement of flume
• flume advantages
• working lab with flume
• introduction of Sqoop
• Requirement of sqoop
• advantages of sqoop
  

1. HADOOP BIG R & OZIE
   

• Introduction of BIG R
• Advantages of BIG R
• Working Lifecycle of ozie
• understand ozie data flow
• ozie setup and requirement
• understand ozie scheduling

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