Big Data Analytics with Spark A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /

• Κύριος συγγραφέας: Guller, Mohammed (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2015.
• Θέματα: Computer science.; Application software.; Computer Science.; Computer Appl. in Administrative Data Processing.

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, grap...

Πίνακας περιεχομένων:

• Chapter 1: Big Data Technology Landscape
• Chapter 2: Programming in Scala
• Chapter 3: Spark Core
• Chapter 4: Interactive Data Analysis with Spark Shell
• Chapter 5: Writing a Spark Application
• Chapter 6: Spark Streaming
• Chapter 7: Spark SQL
• Chapter 8: Machine Learning with Spark
• Chapter 9: Graph Processing with Spark
• Chapter 10: Cluster Managers
• Chapter 11: Monitoring.