Real-Time Stream Processing with MapR 교육 과정

  1. 빅 데이터 Training
  2. Stream processing Training
  3. Real-Time Stream Processing with MapR 교육 과정

Course Code

maprstreaming

Duration

7 hours (usually 1 day including breaks)

Requirements

  • An understanding of Big Data concepts
  • An understanding of Hadoop concepts
  • Java programming experience
  • Comfortable using a Linux command line

Overview

이 강사가 진행하는 실시간 교육에서 참가자는 실시간 스트리밍 응용 프로그램을 개발할 때 MapR Stream Architecture의 핵심 개념을 학습합니다.

이 교육이 끝나면 참가자는 실시간 스트림 데이터 처리를 위해 제작자 및 소비자 응용 프로그램을 만들 수 있습니다.

청중

  • 개발자
  • 관리자

과정 형식

  • 파트 강의, 파트 토론, 연습 및 무거운 실무 연습

노트

  • 이 과정에 대한 맞춤 교육을 요청하려면 Google에 문의하여 준비하십시오.

Machine Translated

Course Outline

Introduction

Overview of MapR Streams Architecture

MapR Stream Core Components

Understanding How Messages Are Managed in MapR Streams

Understanding Producers and Consumers

Developing a MapR Streams Application

  • Streams, Producer, Consumer
  • Using the Kafka Java API

Working with Properties and Options

Summary and Conclusion

회원 평가

★★★★★
★★★★★

Related Categories

Related Courses

Big Data Business Intelligence for Govt. AgenciesBig Data Business Intelligence for Telecom and Communication Service ProvidersBig Data ArchitectProgramming with Big Data in RBig Data Storage Solution - NoSQLBig Data & Database Systems FundamentalsBuilding Kafka Solutions with ConfluentFrom Data to Decision with Big Data and Predictive AnalyticsData Science for Big Data AnalyticsHadoop Administration on MapRA Practical Introduction to Stream ProcessingIoT ( Internet of Things) for Entrepreneurs, Managers and InvestorsStream Processing with Kafka StreamsSamza for Stream ProcessingTigon: Real-time Streaming for the Real World

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