Data Algorithms
(Sprache: Englisch)
Learn the algorithms and tools you need to build MapReduce applications with Hadoop and Spark for processing gigabyte, terabyte, or petabyte-sized datasets on clusters of commodity hardware. With this practical book, author Mahmoud Parsian, head of the big...
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Learn the algorithms and tools you need to build MapReduce applications with Hadoop and Spark for processing gigabyte, terabyte, or petabyte-sized datasets on clusters of commodity hardware. With this practical book, author Mahmoud Parsian, head of the big data team at Illumina, takes you step-by-stepthrough the design of machine-learning algorithms, such as Naive Bayes and Markov Chain, and shows you how apply them to clinical and biological datasets, using MapReduce design patterns.Apply MapReduce algorithms to clinical and biological data, such as DNA-Seq and RNA-SeqUse the most relevant regression/analytical algorithms used for different biological data types
Apply t-test, joins, top-10, and correlation algorithms using MapReduce/Hadoop and Spark
Autoren-Porträt von Mahmoud Parsian
Mahmoud Parsian, Ph.D. in Computer Science, is a practicing software professional with 30 years of experience as a developer, designer, architect, and author. For the past 15 years, he has been involved in Java server-side, databases, MapReduce, and distributed computing. Dr. Parsian is currently with Illumina and leads the "Big Data" team. He is leading and developing scalable regression algorithms, DNA-Seq, RNA-Seq pipelines using Java, MapReduce/Hadoop/HBase/Spark, and open source tools.
Bibliographische Angaben
- Autor: Mahmoud Parsian
- 2015, 778 Seiten, Maße: 25 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1491906189
- ISBN-13: 9781491906187
- Erscheinungsdatum: 25.07.2015
Sprache:
Englisch
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