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中文版前4章,有需要的朋友拿去
野男孩
2016-08-01 09:04:41
本站的资源里直接搜就有。
懒得搜的就从下面传送门去我的blog,里面有链接:
鼠标点我哈:<Apache Spark Graph Processing>中文版前4章
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<Apache Spark Graph Processing>中文版前4章,有需要的朋友拿去
本站的资源里直接搜就有。 懒得搜的就从下面传送门去我的blog,里面有链接: 鼠标点我哈:中文版前4章
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Apache
Spark
Graph
Processing
. pdf
Apache
Spark
Graph
Processing
. pdf 是用于
Spark
图计算的书,高大上必备
Apache
Spark
Graph
Processing
(PACKT,2015)
Apache
Spark
is the next standard of open-source cluster-computing engine for
processing
big data. Many practical computing problems concern large
graph
s, like the Web
graph
and various social networks. The scale of these
graph
s – in some cases billions of vertices, trillions of edges – poses challenges to their efficient
processing
.
Apache
Spark
Graph
X API combines the advantages of both data-parallel and
graph
-parallel systems by efficiently expressing
graph
computation within the
Spark
data-parallel framework. This book will teach the user to do
graph
ical programming in
Apache
Spark
, apart from an explanation of the entire process of
graph
ical data analysis. You will journey through the creation of
graph
s, its uses, its exploration and analysis and finally will also cover the conversion of
graph
elements into
graph
structures. This book begins with an introduction of the
Spark
system, its libraries and the Scala Build Tool. Using a hands-on approach, this book will quickly teach you how to install and leverage
Spark
interactively on the command line and in a standalone Scala program. Then, it presents all the methods for building
Spark
graph
s using illustrative network datasets. Next, it will walk you through the process of exploring, visualizing and analyzing different network characteristics. This book will also teach you how to transform raw datasets into a usable form. In addition, you will learn powerful operations that can be used to transform
graph
elements and
graph
structures. Furthermore, this book also teaches how to create custom
graph
operations that are tailored for specific needs with efficiency in mind. The later chapters of this book cover more advanced topics such as clustering
graph
s, implementing
graph
-parallel iterative algorithms and learning methods from
graph
data.
第二
章
:
Spark
Graph
X 实践
1.分布式图计算框架的目的及图原理 2.
Spark
Graph
X架构与原理 3.
Spark
Graph
X案例代码实践
Apache
Spark
2 for Beginners [2016]
Apache
Spark
2.0 for Beginners English | ISBN: 1785885006 | 2016 | Key Features This book offers an easy introduction to the
Spark
framework published on the latest version of
Apache
Spark
2 Perform efficient data
processing
, machine learning and
graph
processing
using various
Spark
components A practical guide aimed at beginners to get them up and running with
Spark
Book Description
Spark
is one of the most widely-used large-scale data
processing
engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists. This book starts with the fundamentals of
Spark
2 and covers the core data
processing
framework and API, installation, and application development setup. Then the
Spark
programming model is introduced through real-world examples followed by
Spark
SQL programming with DataFrames. An introduction to
Spark
R is covered next. Later, we cover the charting and plotting features of Python in conjunction with
Spark
data
processing
. After that, we take a look at
Spark
's stream
processing
, machine learning, and
graph
processing
libraries. The last chapter combines all the skills you learned from the preceding chapters to develop a real-world
Spark
application. By the end of this book, you will have all the knowledge you need to develop efficient large-scale applications using
Apache
Spark
. What you will learn Get to know the fundamentals of
Spark
2 and the
Spark
programming model using Scala and Python Know how to use
Spark
SQL and DataFrames using Scala and Python Get an introduction to
Spark
programming using R Perform
Spark
data
processing
, charting, and plotting using Python Get acquainted with
Spark
stream
processing
using Scala and Python Be introduced to machine learning using
Spark
MLlib Get started with
graph
processing
using the
Spark
Graph
X Bring together all that you've learned and develop a complete
Spark
application
Apache
_
Spark
_
Graph
_
Processing
Apache
_
Spark
_
Graph
_
Processing
原版英文书
Spark
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Spark
Spark由Scala写成,是UC Berkeley AMP lab所开源的类Hadoop MapReduce的通用的并行计算框架,Spark基于MapReduce算法实现的分布式计算。
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Spark由Scala写成,是UC Berkeley AMP lab所开源的类Hadoop MapReduce的通用的并行计算框架,Spark基于MapReduce算法实现的分布式计算。
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