Programming MapReduce with Scalding :: a practical guide to designing, testing, and implementing complex MapReduce applications in Scala /
This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers who are willing to di...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2014.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however, investing some time on those topics would certainly be beneficial. |
| Beschreibung: | 1 online resource |
| ISBN: | 9781783287024 1783287020 1306902843 9781306902847 1783287012 9781783287017 |
Internformat
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| 245 | 1 | 0 | |a Programming MapReduce with Scalding : |b a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / |c Antonios Chalkiopoulos. |
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| 520 | |a This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however, investing some time on those topics would certainly be beneficial. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Introduction to MapReduce; The Hadoop platform; MapReduce; A MapReduce example; MapReduce abstractions; Introducing Cascading; What happens inside a pipe; Pipe assemblies; Cascading extensions; Summary; Get Ready for Scalding; Why Scala?; Scala basics; Scala build tools; Hello World in Scala; Development editors; Installing Hadoop in five minutes; Running our first Scalding job; Submit a Scalding job into Hadoop; Summary; Scalding by Example; Reading and writing files | |
| 505 | 8 | |a Best practices for reading and writing filesTextLine parsing; Executing in the local and Hadoop modes; Understanding the core capabilities of Scalding; Map-like operations; Join operations; Pipe operations; Grouping/reducing functions; Operations on groups; Composite operations; A simple example; Typed API; Summary; Intermediate Examples; Logfile analysis; Completing the implementation; Exploring ad targeting; Calculating daily points; Calculating historic points; Generating targeted ads; Summary; Scalding Design Patterns; The external operations pattern; The Dependency Injection pattern | |
| 505 | 8 | |a The Late Bound Dependency patternSummary; Testing and TDD; Introduction to testing; MapReduce testing challenges; Development lifecycle with testing strategy; TDD for Scalding developers; Implementing the TDD methodology; Decomposing the algorithm; Defining acceptance tests; Implementing integration tests; Implementing unit tests; Implementing the MapReduce logic; Defining and performing system tests; Black box testing; Summary; Running Scalding in Production; Executing Scalding in a Hadoop cluster; Scheduling execution; Coordinating job execution; Configuring using a property file | |
| 505 | 8 | |a Configuring using Hadoop parametersMonitoring Scalding jobs; Using slim JAR files; Scalding execution throttling; Summary; Using External Data Stores; Interacting with external systems; SQL databases; NoSQL databases; Understanding HBase; Reading from HBase; Writing in HBase; Using advanced HBase features; Search platforms; Elastic Search; Summary; Matrix Calculations and Machine Learning; Text similarity using TF-IDF; Setting a similarity using the Jaccard index; K-Means using Mahout; Other libraries; Summary; Index | |
| 546 | |a English. | ||
| 630 | 0 | 0 | |a MapReduce. |
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| 776 | 0 | 8 | |i Print version: |a Chalkiopoulos, Antonios. |t Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala. |d Birmingham : Packt Publishing, 2014 |z 1306902843 |
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| author | Chalkiopoulos, Antonios |
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| contents | Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Introduction to MapReduce; The Hadoop platform; MapReduce; A MapReduce example; MapReduce abstractions; Introducing Cascading; What happens inside a pipe; Pipe assemblies; Cascading extensions; Summary; Get Ready for Scalding; Why Scala?; Scala basics; Scala build tools; Hello World in Scala; Development editors; Installing Hadoop in five minutes; Running our first Scalding job; Submit a Scalding job into Hadoop; Summary; Scalding by Example; Reading and writing files Best practices for reading and writing filesTextLine parsing; Executing in the local and Hadoop modes; Understanding the core capabilities of Scalding; Map-like operations; Join operations; Pipe operations; Grouping/reducing functions; Operations on groups; Composite operations; A simple example; Typed API; Summary; Intermediate Examples; Logfile analysis; Completing the implementation; Exploring ad targeting; Calculating daily points; Calculating historic points; Generating targeted ads; Summary; Scalding Design Patterns; The external operations pattern; The Dependency Injection pattern The Late Bound Dependency patternSummary; Testing and TDD; Introduction to testing; MapReduce testing challenges; Development lifecycle with testing strategy; TDD for Scalding developers; Implementing the TDD methodology; Decomposing the algorithm; Defining acceptance tests; Implementing integration tests; Implementing unit tests; Implementing the MapReduce logic; Defining and performing system tests; Black box testing; Summary; Running Scalding in Production; Executing Scalding in a Hadoop cluster; Scheduling execution; Coordinating job execution; Configuring using a property file Configuring using Hadoop parametersMonitoring Scalding jobs; Using slim JAR files; Scalding execution throttling; Summary; Using External Data Stores; Interacting with external systems; SQL databases; NoSQL databases; Understanding HBase; Reading from HBase; Writing in HBase; Using advanced HBase features; Search platforms; Elastic Search; Summary; Matrix Calculations and Machine Learning; Text similarity using TF-IDF; Setting a similarity using the Jaccard index; K-Means using Mahout; Other libraries; Summary; Index |
| ctrlnum | (OCoLC)882610623 |
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| dewey-search | 005.1/14 |
| dewey-sort | 15.1 214 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-11-27T13:26:04Z |
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| series | Community experience distilled. |
| spelling | Chalkiopoulos, Antonios. Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / Antonios Chalkiopoulos. Birmingham : Packt Publishing, 2014. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however, investing some time on those topics would certainly be beneficial. Print version record. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Introduction to MapReduce; The Hadoop platform; MapReduce; A MapReduce example; MapReduce abstractions; Introducing Cascading; What happens inside a pipe; Pipe assemblies; Cascading extensions; Summary; Get Ready for Scalding; Why Scala?; Scala basics; Scala build tools; Hello World in Scala; Development editors; Installing Hadoop in five minutes; Running our first Scalding job; Submit a Scalding job into Hadoop; Summary; Scalding by Example; Reading and writing files Best practices for reading and writing filesTextLine parsing; Executing in the local and Hadoop modes; Understanding the core capabilities of Scalding; Map-like operations; Join operations; Pipe operations; Grouping/reducing functions; Operations on groups; Composite operations; A simple example; Typed API; Summary; Intermediate Examples; Logfile analysis; Completing the implementation; Exploring ad targeting; Calculating daily points; Calculating historic points; Generating targeted ads; Summary; Scalding Design Patterns; The external operations pattern; The Dependency Injection pattern The Late Bound Dependency patternSummary; Testing and TDD; Introduction to testing; MapReduce testing challenges; Development lifecycle with testing strategy; TDD for Scalding developers; Implementing the TDD methodology; Decomposing the algorithm; Defining acceptance tests; Implementing integration tests; Implementing unit tests; Implementing the MapReduce logic; Defining and performing system tests; Black box testing; Summary; Running Scalding in Production; Executing Scalding in a Hadoop cluster; Scheduling execution; Coordinating job execution; Configuring using a property file Configuring using Hadoop parametersMonitoring Scalding jobs; Using slim JAR files; Scalding execution throttling; Summary; Using External Data Stores; Interacting with external systems; SQL databases; NoSQL databases; Understanding HBase; Reading from HBase; Writing in HBase; Using advanced HBase features; Search platforms; Elastic Search; Summary; Matrix Calculations and Machine Learning; Text similarity using TF-IDF; Setting a similarity using the Jaccard index; K-Means using Mahout; Other libraries; Summary; Index English. MapReduce. Scala (Computer program language) http://id.loc.gov/authorities/subjects/sh2010013203 Computer programming. http://id.loc.gov/authorities/subjects/sh85107310 Scala (Langage de programmation) Programmation (Informatique) computer programming. aat COMPUTERS Programming Languages General. bisacsh Computer programming fast Scala (Computer program language) fast Print version: Chalkiopoulos, Antonios. Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala. Birmingham : Packt Publishing, 2014 1306902843 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=805422 Volltext |
| spellingShingle | Chalkiopoulos, Antonios Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / Community experience distilled. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Introduction to MapReduce; The Hadoop platform; MapReduce; A MapReduce example; MapReduce abstractions; Introducing Cascading; What happens inside a pipe; Pipe assemblies; Cascading extensions; Summary; Get Ready for Scalding; Why Scala?; Scala basics; Scala build tools; Hello World in Scala; Development editors; Installing Hadoop in five minutes; Running our first Scalding job; Submit a Scalding job into Hadoop; Summary; Scalding by Example; Reading and writing files Best practices for reading and writing filesTextLine parsing; Executing in the local and Hadoop modes; Understanding the core capabilities of Scalding; Map-like operations; Join operations; Pipe operations; Grouping/reducing functions; Operations on groups; Composite operations; A simple example; Typed API; Summary; Intermediate Examples; Logfile analysis; Completing the implementation; Exploring ad targeting; Calculating daily points; Calculating historic points; Generating targeted ads; Summary; Scalding Design Patterns; The external operations pattern; The Dependency Injection pattern The Late Bound Dependency patternSummary; Testing and TDD; Introduction to testing; MapReduce testing challenges; Development lifecycle with testing strategy; TDD for Scalding developers; Implementing the TDD methodology; Decomposing the algorithm; Defining acceptance tests; Implementing integration tests; Implementing unit tests; Implementing the MapReduce logic; Defining and performing system tests; Black box testing; Summary; Running Scalding in Production; Executing Scalding in a Hadoop cluster; Scheduling execution; Coordinating job execution; Configuring using a property file Configuring using Hadoop parametersMonitoring Scalding jobs; Using slim JAR files; Scalding execution throttling; Summary; Using External Data Stores; Interacting with external systems; SQL databases; NoSQL databases; Understanding HBase; Reading from HBase; Writing in HBase; Using advanced HBase features; Search platforms; Elastic Search; Summary; Matrix Calculations and Machine Learning; Text similarity using TF-IDF; Setting a similarity using the Jaccard index; K-Means using Mahout; Other libraries; Summary; Index MapReduce. Scala (Computer program language) http://id.loc.gov/authorities/subjects/sh2010013203 Computer programming. http://id.loc.gov/authorities/subjects/sh85107310 Scala (Langage de programmation) Programmation (Informatique) computer programming. aat COMPUTERS Programming Languages General. bisacsh Computer programming fast Scala (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2010013203 http://id.loc.gov/authorities/subjects/sh85107310 |
| title | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / |
| title_auth | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / |
| title_exact_search | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / |
| title_full | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / Antonios Chalkiopoulos. |
| title_fullStr | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / Antonios Chalkiopoulos. |
| title_full_unstemmed | Programming MapReduce with Scalding : a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / Antonios Chalkiopoulos. |
| title_short | Programming MapReduce with Scalding : |
| title_sort | programming mapreduce with scalding a practical guide to designing testing and implementing complex mapreduce applications in scala |
| title_sub | a practical guide to designing, testing, and implementing complex MapReduce applications in Scala / |
| topic | MapReduce. Scala (Computer program language) http://id.loc.gov/authorities/subjects/sh2010013203 Computer programming. http://id.loc.gov/authorities/subjects/sh85107310 Scala (Langage de programmation) Programmation (Informatique) computer programming. aat COMPUTERS Programming Languages General. bisacsh Computer programming fast Scala (Computer program language) fast |
| topic_facet | MapReduce. Scala (Computer program language) Computer programming. Scala (Langage de programmation) Programmation (Informatique) computer programming. COMPUTERS Programming Languages General. Computer programming |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=805422 |
| work_keys_str_mv | AT chalkiopoulosantonios programmingmapreducewithscaldingapracticalguidetodesigningtestingandimplementingcomplexmapreduceapplicationsinscala |