Apache Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so de ...

Distributed Programming Framework, hadoop | PPT

Recommended ; Hadoop Introduction (1.0) ; Hadoop 제주대 ; 하둡 설치(의사분산모드) ; Hadoop administration ; Hadoop overview ; 하둡완벽가이드 Ch9 ; HDFS Overview ; 서울 하둡 사용자 모임 발표자료 ; Apache hive ; Hive begins

Hadoop - Architecture

Hadoop – Architecture ; Let’s understand the role of each one of this component in detail. MapReduce nothing but just like an Algorithm or a data structure that is based on the YARN framework. The major feature of MapReduce is to perform the distributed processing in parallel in a Hadoop cluster which Makes Hadoop working so fast. When you are dealing with Big Data, serial processing is no more of any use. MapReduce has mainly 2 tasks which are divided phase-wise: In first phase, Map is util...

Apache Hadoop

The base Apache Hadoop framework is composed of the following modules: Hadoop Common – contains libraries and utilities needed by other Hadoop modules; Hadoop Distributed File System...

Hadoop - Schedulers and Types of Schedulers

The Map-Reduce framework is used to perform multiple tasks in parallel in a typical Hadoop cluster to process large size datasets at a fast rate. This Map-Reduce Framework is responsible for scheduling and monitoring the tasks given by different clients in a Hadoop cluster. But this method of scheduling jobs is used prior to Hadoop 2. Now in Hadoop 2, we have YARN (Yet Another Resource Negotiator). In YARN we have separate Daemons for performing Job scheduling, Monitorin ...

Big data & hadoop framework | PPT

Big data & hadoop framework - Download as a PDF or view online for free

Hadoop ecosystem이란?

hadoop ecosystem은 hadoop framework를 이루고 있는 다양한 project들의 모임을 의미한다.분산 메시징 시스템으로 데이터 파이프라인 구축 시 주로 사용대용량 실시간 로그처리에 특화되어 있음.데이터를 안전하게 전달하는 것이 주 목적.fault-

하둡 에코시스템 (Hadoop ecosystem)

Apache Hadoop 을 구성하는 도구들을 의미. 프레임워크 또는 플랫폼. ; 분산 데이터 저장 관리, 처리가 주 기능. ; 그외의 워크플로우, 데이터 분석, 수집, 직렬화 등의 기능 제공

【한글자막】 Hadoop : 여러 실습으로 빅 데이터 길들이기!

배울 내용 ; Hadoop 및 관련 기술을 사용하여 "빅데이터"를 관리하는 분산 시스템 설계 ; HDFS 및 MapReduce를 사용하여 대규모 데이터 저장 및 분석 ; Pig 및 Spark를 사용하여 스크립트를 만들어 Hadoop 클러스터에서 보다 복잡한 방식으로 데이터를 처리

Complete Hadoop Framework including kafka,spark and mongo db

Complete hands on learning on hadoop framework and its ecosystems including advanced concepts like apache spark, kafka