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Talend for Big Data.
This book is written in a concise and easy-to-understand manner, and acts as a comprehensive guide on data analytics and integration with Talend big data processing jobs. If you are a chief information officer, enterprise architect, data architect, data scientist, software developer, software engine...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 520 | |a This book is written in a concise and easy-to-understand manner, and acts as a comprehensive guide on data analytics and integration with Talend big data processing jobs. If you are a chief information officer, enterprise architect, data architect, data scientist, software developer, software engineer, or a data analyst who is familiar with data processing projects and who wants to use Talend to get your first big data job executed in a reliable, quick, and graphical way, then Talend for Big Data is perfect for you. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Talend Big Data; Talend Unified Platform presentation; Knowing about Hadoop ecosystem; Prerequisites for running examples; Downloading Talend Open Studio for Big Data; Installing TOSBD; Running TOSBD for the first time; Summary; Chapter 2: Building Our First Big Data Job; TOSBD -- the development environment; A simple HDFS writer job; Checking the result in HDFS; Summary; Chapter 3: Formatting Data; Twitter Sentiment Analysis. | |
| 505 | 8 | |a Writing the tweets in HDFSSetting our Apache Hive tables; Formatting tweets with Apache Hive; Summary; Chapter 4: Processing Tweets with Apache Hive; Extracting hashtags; Extracting emoticons; Joining the dots; Summary; Chapter 5: Aggregate Data with Apache Pig; Knowing about Pig; Extracting the top Twitter users; Extracting the top hashtags, emoticons, and sentiments; Summary; Chapter 6: Back to the SQL Database; Linking HDFS and RDBMS with Sqoop; Exporting and importing data to a MySQL database; Summary; Chapter 7: Big Data Architecture and Integration patterns; Streaming pattern. | |
| 505 | 8 | |a The Partitioning patternSummary; Appendix: Installing Your Hadoop Cluster with Cloudera CDH VM; Downloading Cloudera CDH VM; Launching the VM for the first time; Basic required configuration; Summary; Index. | |
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