首頁(yè) > 計(jì)算機(jī)網(wǎng)絡(luò) >
編程語(yǔ)言與程序設(shè)計(jì)
> Real-Time Big Data Analytics最新章節(jié)目錄
目錄(72章)
倒序
- 封面
- 版權(quán)信息
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
- Chapter 1. Introducing the Big Data Technology Landscape and Analytics Platform
- Big Data – a phenomenon
- The Big Data dimensional paradigm
- The Big Data ecosystem
- The Big Data infrastructure
- Components of the Big Data ecosystem
- Distributed batch processing
- Distributed databases (NoSQL)
- Real-time processing
- Summary
- Chapter 2. Getting Acquainted with Storm
- An overview of Storm
- Storm architecture and its components
- How and when to use Storm
- Storm internals
- Summary
- Chapter 3. Processing Data with Storm
- Storm input sources
- Other sources for input to Storm
- Reliability of data processing
- Storm simple patterns
- Storm persistence
- Summary
- Chapter 4. Introduction to Trident and Optimizing Storm Performance
- Working with Trident
- Understanding LMAX
- Storm internode communication
- Understanding the Storm UI
- Optimizing Storm performance
- Summary
- Chapter 5. Getting Acquainted with Kinesis
- Architectural overview of Kinesis
- Creating a Kinesis streaming service
- Summary
- Chapter 6. Getting Acquainted with Spark
- An overview of Spark
- The architecture of Spark
- Resilient distributed datasets (RDD)
- Writing and executing our first Spark program
- Summary
- Chapter 7. Programming with RDDs
- Understanding Spark transformations and actions
- Programming Spark transformations and actions
- Handling persistence in Spark
- Summary
- Chapter 8. SQL Query Engine for Spark – Spark SQL
- The architecture of Spark SQL
- Coding our first Spark SQL job
- Converting RDDs to DataFrames
- Working with Parquet
- Working with Hive tables
- Performance tuning and best practices
- Summary
- Chapter 9. Analysis of Streaming Data Using Spark Streaming
- High-level architecture
- Coding our first Spark Streaming job
- Querying streaming data in real time
- Deployment and monitoring
- Summary
- Chapter 10. Introducing Lambda Architecture
- What is Lambda Architecture
- The technology matrix for Lambda Architecture
- Realization of Lambda Architecture
- Summary
- Index 更新時(shí)間:2021-07-16 12:54:47
推薦閱讀
- Mastering Zabbix(Second Edition)
- Testing with JUnit
- Android和PHP開(kāi)發(fā)最佳實(shí)踐(第2版)
- 工程軟件開(kāi)發(fā)技術(shù)基礎(chǔ)
- GeoServer Cookbook
- Python機(jī)器學(xué)習(xí):數(shù)據(jù)分析與評(píng)分卡建模(微課版)
- x86匯編語(yǔ)言:從實(shí)模式到保護(hù)模式(第2版)
- Backbone.js Blueprints
- PhpStorm Cookbook
- JavaCAPS基礎(chǔ)、應(yīng)用與案例
- Python項(xiàng)目實(shí)戰(zhàn)從入門(mén)到精通
- Regression Analysis with Python
- INSTANT Silverlight 5 Animation
- 零基礎(chǔ)學(xué)C語(yǔ)言程序設(shè)計(jì)
- Learning C++ by Creating Games with UE4
- 實(shí)驗(yàn)編程:PsychoPy從入門(mén)到精通
- Raspberry Pi Robotic Projects
- Spring Microservices
- Learning Java Lambdas
- 天天學(xué)敏捷:Scrum團(tuán)隊(duì)轉(zhuǎn)型記
- 架構(gòu)寶典
- Python樹(shù)莓派編程
- Mastering CSS
- Cacti實(shí)戰(zhàn)
- MySQL 從入門(mén)到項(xiàng)目實(shí)踐(超值版)
- CMake Cookbook
- 深入理解以太坊
- Python編程300例:快速構(gòu)建可執(zhí)行高質(zhì)量代碼
- UML與Rose建模實(shí)用教程
- Python程序設(shè)計(jì)案例課堂