Auflage
Sprache
Verlagsort
Zielgruppe
Editions-Typ
Illustrationen
132
132 s/w Abbildungen
XVII, 438 p. 132 illus.
Maße
Höhe: 254 mm
Breite: 178 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-1-4842-7382-1 (9781484273821)
DOI
10.1007/978-1-4842-7383-8
Schweitzer Klassifikation
Hien Luu has extensive experience in designing and building big data applications and machine learning infrastructure. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such as Data+AI Summit, MLOps World, QCon SF, QCon London, Hadoop Summit, and JavaOne.
Chapter 1: Introduction to Apache Spark.- Chapter 2: Working with Apache Spark.- Chapter 3: Spark SQL - Foundation.- Chapter 4: Spark SQL - Advance.- Chapter 5: Optimizing Apache Spark Applications.- Chapter 6: Structured Streaming - Foundation.- Chapter 7: Structured Streaming - Advanced.- Chapter 8: Machine Learning with Apache Spark.- Chapter 9: Managing the Machine Learning Lifecycle.