Data-intensive Systems Principles and Fundamentals using Hadoop and Spark /

• Κύριος συγγραφέας: Wiktorski, Tomasz (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Advanced Information and Knowledge Processing,
• Θέματα: Database management.; Big data.; Database Management.; Big Data.; Big Data/Analytics.

Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the c...

Πίνακας περιεχομένων:

• Introduction
• Hadoop 101 and reference scenario
• Functional abstraction
• Introduction to MapReduce
• Hadoop Architecture
• MapReduce algorithms and patterns
• NOSQL Databases
• Spark.