ISBN: 9781449317683

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having … Altro …

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged applicationmaking it easy for you to experiment with new datasets.Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.Delve into Pigs data model, including scalar and complex data typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pigs macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksCreate your own load and store functions to handle data formats and storage mechanismsGet performance tips for running scripts on Hadoop clusters in less time Programming Pig: This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged applicationmaking it easy for you to experiment with new datasets.Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.Delve into Pigs data model, including scalar and complex data typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pigs macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksCreate your own load and store functions to handle data formats and storage mechanismsGet performance tips for running scripts on Hadoop clusters in less time, O'reilly Media<

9, ISBN: 9781449317683

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having … Altro …

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application-making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for ext This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application-making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig. Delve into Pig's data model, including scalar and complex data types Write Pig Latin scripts to sort, group, join, project, and filter your data Use Grunt to work with the Hadoop Distributed File System (HDFS) Build complex data processing pipelines with Pig's macros and modularity features Embed Pig Latin in Python for iterative processing and other advanced tasks Create your own load and store functions to handle data formats and storage mechanisms Get performance tips for running scripts on Hadoop clusters in less time Data Modeling & Design, Programming, Programming Pig~~ Alan Gates~~Data Modeling & Design~~Programming~~9781449317683, en, Programming Pig, Alan Gates, 9781449317683, O'Reilly Media, 09/29/2011, , , , O'Reilly Media, 09/29/2011<

2011, ISBN: 9781449317683

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having … Altro …

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged applicationmaking it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged applicationmaking it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig. Delve into Pigs data model, including scalar and complex data typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pigs macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksCreate your own load and store functions to handle data formats and storage mechanismsGet performance tips for running scripts on Hadoop clusters in less time eBooks, Technology, Engineering, Agriculture~~Databases~~Data Mining, Programming Pig~~EBook~~9781449317683~~Alan Gates, , Programming Pig, Alan Gates, 9781449317683, O'Reilly Media, 09/29/2011, , , , O'Reilly Media<

ISBN: 9781449317683

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having … Altro …

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged applicationmaking it easy for you to experiment with new datasets.Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.Delve into Pigs data model, including scalar and complex data typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pigs macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksCreate your own load and store functions to handle data formats and storage mechanismsGet performance tips for running scripts on Hadoop clusters in less time Programming Pig eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, O´Reilly Media, Inc, USA<

2011, ISBN: 9781449317683

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