Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Thể loại:Conputers
Năm:2021
In lần thứ:2nd ed.
ngôn ngữ:english
Trang:455
Take a journey toward discovering, learning, and using Apache Spark
3.0. In this book, you will gain expertise on the powerful and efficient
distributed data processing engine inside of Apache Spark; its
user-friendly, comprehensive, and flexible programming model for
processing data in batch and streaming; and the scalable machine
learning algorithms and practical utilities to build machine learning
applications.
Beginning Apache Spark 3 begins by explaining
different ways of interacting with Apache Spark, such as Spark Concepts
and Architecture, and Spark Unified Stack. Next, it offers an overview
of Spark SQL before moving on to its advanced features. It covers tips
and techniques for dealing with performance issues, followed by an
overview of the structured streaming processing engine. It concludes
with a demonstration of how to develop machine learning applications
using Spark MLlib and how to manage the machine learning development
lifecycle. This book is packed with practical examples and code snippets
to help you master concepts and features immediately after they are
covered in each section.
After reading this book, you will have
the knowledge required to build your own big data pipelines,
applications, and machine learning applications.
What You Will Learn
Master the Spark unified data analytics engine and its various components
Work in tandem to provide a scalable, fault tolerant and performant data processing engine
Leverage
the user-friendly and flexible programming model to perform simple to
complex data analytics using dataframe and Spark SQL
Develop machine learning applications using Spark MLlib
Manage the machine learning development lifecycle using MLflow
Who This Book Is For
Data scientists, data engineers and software developers.
