| Springer Nature B.V.

71,480원  | 20230606  | 9781484293812

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark's structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows.?This book covers Spark 3's new features, theoretical foundations, and application architecture.

Mike Frampton  | Packt Publishing

35,000원  | 20151020  | 9781783987146

Packt Publishing, Muhammad Asif Abbasi  | Packt Publishing

55,000원  | 20170615  | 9781785885136

Key Features * Exclusive guide that covers how to get up and running with fast data processing using Apache Spark * Explore and exploit various possibilities with Apache Spark using real-world use cases in this book * Want to perform efficient data processing at real time? This book will be your one-stop solution. Spark juggernaut keeps on rolling and getting more and more momentum each day.

 | Springer Nature B.V.

71,480원  | 20180820  | 9781484235805

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

Yadav, Rishi  | Packt Publishing

32,000원  | 20171001  | 9781787127265

Mehrotra, Shrey  | Packt Publishing

53,600원  | 20190131  | 9781789349108

Apache Spark is a flexible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.

 | Springer Nature B.V.

71,480원  | 20220323  | 9781484274538

Leverage Apache Spark within a modern data engineering ecosystem.?This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions.

 | O'Reilly

0원  | 20190617  | 9789352138586

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You?ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.Authors Gerard Maas and Francois Garillot help you explore the theoretical underpinnings of Apache Spark.

Sherif, Ahmed  | Packt Publishing

56,000원  | 20180802  | 9781788474221

A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features: * Discover practical recipes for distributed deep learning with Apache Spark * Learn to use libraries such as Keras and TensorFlow * Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tool

Franco Galeano, Manuel Ignacio  | Packt Publishing

14,000원  | 20190901  | 9781789808810

Processing big data in real-time is challenging due to scalability, information consistency, and fault tolerance. This book shows you how you can use Spark to make your overall analysis workflow faster and more efficient. You'll learn all about the core concepts and tools within the Spark ecosystem, like Spark Streaming, the Spark Streaming ...

Sourav Gulati, Sumit Kumar  | Packt Publishing

38,000원  | 20180118  | 9781787126497

마이크 프램톤  | 정보문화사

19,800원  | 20160612  | 9788956746951

『마스터링 아파치 스파크(Mastering Apache Spark)』는 스파크의 각각의 모듈에 관해 기술하고 이것들이 어떻게 실제로 사용되는지를 설명해준다. 또한, 스파크의 기능이 H2O 같은 추가 라이브러리를 통해 어떻게 확장될 수 있는지 보여준다. 그리고 아파치 스파크의 그래픽 프로세싱 모듈이 어떻게 아우렐리우스의 타이탄 그래프 데이터베이스와 함께 사용되는지도 보여줄 것이다. 이를 통해 스파크 GraphX와 타이탄을 그룹핑 함으로써 그래프 기반의 프로세스와 스토리지로 엮이는 것을 확인할 수 있다.

Guglielmo Iozzia  | Packt Publishing

43,000원  | 20190424  | 9781788994613

Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.

 | Packt Publishing

80,410원  | 20161223  | 9781785880100

Come on, we've all done it. We've all downloaded a cheeky little something we shouldn't have. After all, what's the harm, eh? You never get caught. Turns out, there's something hiding in the internet. It knows what you've done. And it's going to stop you.

Alex Liu  | Packt

29,000원  | 20170317  | 9781785880391

Key Features * Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development * Develop a set of practical Machine Learning applications that can be implemented in real-life projects * A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Book Description There's a reason why Apache Spark has become one of the most popular tools in Machine Learni