In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to a
Workshop spark-in-practice In this workshop the exercises are focused on using the Spark core and Spark Streaming APIs, and also the dataFrame on data processing. Exercises are available both in Java and Scala on my github account (here in java). Yo
Spark for Python Developers aims to combine the elegance and flexibility of Python with the power and versatility of Apache Spark. Spark is written in Scala and runs on the Java virtual machine. It is nevertheless polyglot and offers bindings and AP
Key Features This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structu
Key Features This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structu
One million Uber rides are booked every day, 10 billion hours of Netflix videos are watched every month, and $1 trillion are spent on e-commerce web sites every year. The success of these services is underpinned by Big Data and increasingly, real-ti
Big data is getting bigger and bigger day by day. And I don't mean tera, peta, exa, zetta, and yotta bytes of data collected all over the world every day. I refer to complexity and number of components utilized in any decent and respectable big data
Mastering Spark for Data Science by Andrew Morgan English | 29 Mar. 2017 | ASIN: B01BWNXA82 | 560 Pages | AZW3 | 12.66 MB Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grad
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a co
Advanced Analytics with Spark: Patterns for Learning from Data at Scale by Sandy Ryza English | 12 Jun. 2017 | ASIN: B072KFWZ8S | 281 Pages | AZW3 | 1.81 MB In the second edition of this practical book, four Cloudera data scientists present a set of
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together
Big data – that was our motivation to explore the world of machine learning with Spark a couple of years ago. We wanted to build machine learning applications that would leverag models trained on large amounts of data, but the beginning was not easy
The book opens with an overview of the Spark ecosystem. The book will introduce you to Project Catalyst and Tungsten. You will understand how Memory Management and Binary Processing, Cache-aware Computation, and Code Generation are used to speed thi
This book introduces the reader to a broad spectrum of topics related to big data as used in the enterprise. Big data is a vast area that encompasses elements of technology, statistics, visualization, business intelligence, and many other related di
spark summit 5月部分PPT。主要是SQL、core相关的。全部接近200个 看不完，只挑了部分感兴趣的下载回来 Analyzing 2TB of Raw Trace Data from a Manufacturing Process A First Use Case of Apache Spark for Semiconductor Wafers from Real Industry Cosco an efficientfacebook-scale shuffle service
