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Hadoop Certification Training Course

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Course Duration

40 Days.

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  • Instructor-led Online Training
  • Live Interactive training by Certified & industry expert Trainers
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  • Recorded Video Training
  • Access to High Quality pre-recorded Training videos (from a previous live training)
  • LMS access
  • Access to Self-paced Training material designed by Experts
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  • Corporate Training
  • Self-Paced e-learning and/or instructor-led Live online training options
  • Learning Management System access
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ABOUT COURSE

Hadoop Online Training is an open source framework which is used to store large amount of data sets.Hadoop is provided for data storage, data access, and data processing and security operations. Many organizations are used hadoop for storage purpose because Hadoop store large amount of data quickly.

Hadoop Certification enables multiple types of analytic workloads to run on the same data, at the same time, at massive scale on industry-standard hardware. Hadoop Courses and related projects in the world (with support available via a Cloudera Certification Enterprise subscription). Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.

BIG DATA TRAINING

Benefits of Attending Hadoop Training

  • Learn Hadoop administrator is an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyze data.
  • big data analytics Hadoop training Certification are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework.
  • The Apache Hadoop framework is composed of the following modules:-
  • Hadoop Common:contains libraries and utilities needed by other Hadoop modules
  • Hadoop YARN:a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of users’ applications
  • Hadoop MapReduce:a programming model for large scale data processing

Hadoop is one of the most popular big data frameworks. Hadoop has two core components that include the HDFS or Hadoop distributed File System which stores data of various formats across a cluster.Hadoop was one of the first frameworks of its kind which is one of the reasons why its adoption is so widespread.

Hadoop is a framework that handles Big Data. Hadoop has units like HDFS – to store Big Data and MapReduce – to process Big Data. It was based on the Google File System and MapReduce. The company started using Hadoop on a 1000 node cluster. YARN is the second component and it’s tasked with resource management. It allows parallel processing over the data.

Hadoop has the following key features:

  • It is the file system for the Hadoop framework. It storage layer for Big Data and has a master-slave architecture
  • Hadoop uses the MapReduce programming model for breaking up computation tasks into blocks that can be distributed around a cluster of commodity machines using the Hadoop Distributed Filesystem (HDFS).
  • YARN(Yet Another Resource Negotiator) is the technology used for job scheduling and resource management in Hadoop.
  • Big Data is in high demand in today's world.
  • To manages the enormous amount of data generated, having the knowledge of Hadoop is extremely necessary.
  • Hadoop is a batch processing engine at its core. All of the data is read via the disk and written to it as well.
  • Hadoop has remained one of the most widely used big data frameworks.

Why Kasha Training Education?

  • Kasha Training Education provides the best Hadoop certification training course in collaboration with industry experts with certified trainers.
  • Kasha Training provide flexibility in learning, one can undergo training at his own comfort, pace and anywhere anytime. It is also cost effective and eco-friendly because no travelling costs and course once developed can be used any number of times.
  • Through Hadoop courses students have access to a quality of Hadoop Training material and lectures. This is really helpful as now you have the chance to take a course from a faculty whose teaching frequency matches with my learning frequency.
  • Our training for Hadoop Online Training focuses on improving participants skills by emphasizing importance on key objectives, milestones, deliverables to work within the constraints of scope, time, cost and quality of the project.

Feedback from our Participants

Hadoop Online Training are going really good. Trainer is explaining me very well. I had the chance to be a student of Kasha Training and will also refer it to my friends in future.
PrateekIndia
Kasha Training is well qualified and assist the students in Hadoop Certification training in every possible way on their assignments and job search. I am very happy about your online training”
ManojIndia
“Trainer really has a strong knowledge on Learn Hadoop administrator cloudera certification and he explained me very well”
PradiptaIndia
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COURSE CURRICULUM

  • What is Hadoop?
  • Importance of Data
  • ESG Report on Analytics
  • Big Data & It’s Hype
  • What is Big Data?
  • Structured vs Unstructured data
  • Definition of Big Data
  • History of Hadoop
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and what it is not?
  • HDFS Overview and Architecture
  • PREVIEW
  • HDFS Installation
  • HDFS Use Cases
  • Hadoop File System Shell
  • File System Java API
  • Hadoop Configuration
  • What is Hadoop?
  • Importance of Data
  • ESG Report on Analytics
  • Big Data & It’s Hype
  • What is Big Data?
  • Structured vs Unstructured data
  • Definition of Big Data
  • History of Hadoop
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and what it is not?
  • HBase Overview and Architecture
  • HBase Installation
  • HBase Shell
  • Java Client API
  • Java Administrative API
  • Filters
  • Scan Caching and Batching
  • Key Design
  • Table Design
  • Decomposing Problems into MapReduce Workflow
  • Using JobControl
  • Oozie Introduction and Architecture
  • Oozie Installation
  • Developing, deploying, and Executing Oozie Workflows
  • Pig Overview
  • Installation
  • Pig Latin
  • Developing Pig Scripts
  • Processing Big Data with Pig
  • Joining data-sets with Pig
  • Hive Overview
  • Installation
  • Hive QL
  • Introduction
  • Sqoop Tools
  • Sqoop Import
  • Sqoop Import all tables
  • Sqoop Export
  • Sqoop Job
  • Sqoopmetastore
  • SqoopEval
  • SqoopCodegen
  • Sqoop List Databases and List Tables
  • Sqoop Create Hive Table
  • 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
  • Relational Database Management Systems
  • Storage Systems
  • Importing Data from RDBMSs With Sqoop
  • Hands-on exercise
  • Importing Real-Time Data with Flume
  • Accessing HDFS Using FuseDFS and Hoop
  • More about ToolRunner
  • Testing with MRUnit
  • Reducing Intermediate Data With Combiners
  • The configure and close methods for Map/Reduce Setup and Teardown
  • Writing Partitioners for Better Load Balancing
  • Hands-On Exercise
  • Directly Accessing HDFS
  • Using the Distributed Cache
  • Sorting and Searching
  • Indexing
  • Machine Learning With Mahout
  • Term Frequency – Inverse Document Frequency
  • Word Co-Occurrence
  • Hive Basics
  • Pig Basics

WHO CAN LEARN?

  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Graduates looking to build a career in Big Data Analytics

FAQ

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Kasha Training is one of the world’s leading Online training providers, helping professionals across industries and sectors develop new expertise and bridge their skill gap for recognition and growth in the corporate world.

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