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2018-05-26 09:09:49
Big Data Principles and best practices of scalable realtime data systems.pdf
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Big Data Principles and best practices of scalable realtime data systems.pdf下载
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Big
Data
Principles
and
best
p
ract
ice
s of
scala
ble
real
time
data
systems.
pdf
Big
Data
Principles
and
best
p
ract
ice
s of
scala
ble
real
time
data
systems.
pdf
Big
Data
:
Principles
and
Best
P
ract
ice
s of
Scala
ble
Real
time
Data
Systems
Manning的
Big
_
Data
:
Principles
_and_
Best
_P
ract
ice
s_of_
Scala
ble
_
Real
time
_
Data
_Systems一书,大数据概论。
Big
.
Data
.
Principles
.and.
best
.p
ract
ice
s.of.
scala
ble
.
real
time
.
data
.systems.161
Web-scale applications like social networks,
real
-
time
analytics, or e-commerce sites deal with a lot of
data
, whose volume and velocity exceed the limits of traditional
data
base systems. These applications require architectures built around clusters of machines to store and process
data
of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.
Big
Data
teaches you to build
big
data
systems using an architecture designed specifically to capture and analyze web-scale
data
. This book presents the Lambda Architecture, a
scala
ble
, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of
big
data
systems and how to implement them in p
ract
ice
. In addition to discovering a general framework for processing
big
data
, you'll learn specific technologies like Hadoop, Storm, and NoSQL
data
bases. This book requires no previous exposure to large-scale
data
analysis or NoSQL tools. Familiarity with traditional
data
bases is helpful. What's Inside Introduction to
big
data
systems
Real
-
time
processing of web-scale
data
Tools like Hadoop, Cassandra, and Storm Extensions to traditional
data
base skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for
big
data
systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Ta
ble
of Contents Chapter 1: A new paradigm for
Big
Data
Part 1: Batch layer Chapter 2:
Data
model for
Big
Data
Chapter 3:
Data
model for
Big
Data
: Illustration Chapter 4:
Data
storage on the batch layer Chapter 5:
Data
storage on the batch layer: Illustration Chapter 6: Batch layer Chapter 7: Batch layer: Illustration Chapter 8: An example batch layer: Architecture and algorithms Chapter 9: An example batch layer: Implementation Part 2: Serving layer Chapter 10: Serving layer Chapter 11: Serving layer: Illustration Part 3: Speed layer Chapter 12:
Real
time
views Chapter 13:
Real
time
views: Illustration Chapter 14: Queuing and stream processing Chapter 15: Queuing and stream processing: Illustration Chapter 16: Micro-batch stream processing Chapter 17: Micro-batch stream processing: Illustration Chapter 18: Lambda Architecture in depth
[BOOKS]
Big
Data
:
Principles
and
best
p
ract
ice
s of
scala
ble
real
time
data
systems
关注的storm作者一本书---
Big
Data
Principles
and
best
p
ract
ice
s of
scala
ble
real
time
data
systems
现在网上未找到全本,有一章试读。
Big
Data
Principles
and
best
p
ract
ice
s of
scala
ble
real
time
data
systems Nathan Marz and James Warren MEAP Began: January 2012 Softbound print: March 2014 (est.) | 425 pages
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