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Viser: Hadoop: the Definitive Guide - Storage and Analysis at Internet Scale
Hadoop: The Definitive Guide Vital Source e-bog
Tom White
(2015)
Hadoop: The Definitive Guide Vital Source e-bog
Tom White
(2015)
Hadoop: the Definitive Guide
Storage and Analysis at Internet Scale
Tom White
(2015)
Sprog: Engelsk
om ca. 15 hverdage
Detaljer om varen
- 4. Udgave
- Vital Source searchable e-book (Reflowable pages): 756 sider
- Udgiver: O'Reilly Media, Inc (Marts 2015)
- ISBN: 9781491901700
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 4. Udgave
- Vital Source searchable e-book (Fixed pages): 756 sider
- Udgiver: O'Reilly Media, Inc (Marts 2015)
- ISBN: 9781491901717
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 4. Udgave
- Paperback: 754 sider
- Udgiver: O'Reilly Media, Incorporated (Maj 2015)
- ISBN: 9781491901632
Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.
Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. Youâ??ll learn about recent changes to Hadoop, and explore new case studies on Hadoopâ??s role in healthcare systems and genomics data processing.
- Learn fundamental components such as MapReduce, HDFS, and YARN
- Explore MapReduce in depth, including steps for developing applications with it
- Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN
- Learn two data formats: Avro for data serialization and Parquet for nested data
- Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)
- Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop
- Learn the HBase distributed database and the ZooKeeper distributed configuration service




