Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Mai 2018
Genre:	EDV / Informatik
	Artificial Intelligence / B / Big Data / Combinatorics & graph theory / computer science / Data and Information Visualization / Data Mining / Data Mining and Knowledge Discovery / Databases / Expert systems / knowledge-based systems / Künstliche Intelligenz / Mathematics / Visualization mehr...
ISBN:	9783319777993
EAN-Code:	9783319777993
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Computer Communications and Networks
Dimensionen:	H 235 mm / B 155 mm / D 27 mm
Gewicht:	8336 gr
Seiten:	398
Illustration:	XXV, 398 p. 155 illus., 117 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.