國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Beginning Apache Spark 2with resilie...

Luu, Hien.

Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Beginning Apache Spark 2by Hien Luu.
其他題名:	with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
作者:	Luu, Hien.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xi, 393 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Distributed databases.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3579-9
ISBN:	9781484235799$q(electronic bk.)

Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
Luu, Hien.

Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /[electronic resource] :by Hien Luu. - Berkeley, CA :Apress :2018. - xi, 393 p. :ill., digital ;24 cm.

1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.

ISBN: 9781484235799$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3579-9doiSubjects--Corporate Names:

822609
Spark (Electronic resource : Apache Software Foundation)
Subjects--Topical Terms:

184457
Distributed databases.

LC Class. No.: QA76.9.D3 / L884 2018

Dewey Class. No.: 005.758

Beginning Apache Spark 2with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /
LDR:02239nmm a2200289 a 4500 001 544107
003 DE-He213
005 20190306105912.0
006 m d
007 cr nn 008maaau
008 190430s2018 cau s 0 eng d
020 $a 9781484235799$q(electronic bk.)
020 $a 9781484235782$q(paper)
024 7 $a 10.1007/978-1-4842-3579-9 $2 doi
035 $a 978-1-4842-3579-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b L884 2018
082 0 4 $a 005.758 $2 23
090 $a QA76.9.D3 $b L975 2018
100 1 $a Luu, Hien. $3 822608
245 1 0 $a Beginning Apache Spark 2 $h [electronic resource] : $b with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library / $c by Hien Luu.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xi, 393 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.
520 $a Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.
610 2 0 $a Spark (Electronic resource : Apache Software Foundation) $3 822609
650 0 $a Distributed databases. $3 184457
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Big Data. $3 760530
650 2 4 $a Java. $3 763312
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Open Source. $3 758930
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3579-9
950 $a Professional and Applied Computing (Springer-12059)