forked from apache/kafka-site
-
Notifications
You must be signed in to change notification settings - Fork 0
/
books-and-papers.html
210 lines (208 loc) · 7.99 KB
/
books-and-papers.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
<!--#include virtual="includes/_header.htm" -->
<body class="page-books-and-papers">
<!--#include virtual="includes/_top.htm" -->
<div class="content content-home">
<!--#include virtual="includes/_nav.htm" -->
<h1 class="content-title">Books and Papers</h1>
<section>
<h4 class="anchor-heading">
<a class="anchor-link" id="books" href="#books"></a>
<a href="#books">Books</a>
</h4>
<p>
The following books cover Apache Kafka and/or the subject of event
streaming in general.
</p>
<p>
<a
href="https://www.confluent.io/resources/kafka-the-definitive-guide/"
rel="nofollow" target="_blank"
><img
src="/images/books/book-kafka-guide.jpg"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.confluent.io/ebook/i-heart-logs-event-data-stream-processing-and-data-integration/"
rel="nofollow" target="_blank"
><img
src="/images/books/book-heart-logs.jpg"
alt=""
style="max-width: 100%;"
/></a>
<a href="https://dataintensive.net/" rel="nofollow" target="_blank"
><img
src="/images/books/book-ddia.png"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.confluent.io/designing-event-driven-systems/"
rel="nofollow"
><img
src="/images/books/book-designing-eds.jpg"
alt=""
style="max-width: 100%;"
/></a>
<a href="https://www.confluent.io/stream-processing/" rel="nofollow"
><img
src="/images/books/book-making-sense.png"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.manning.com/books/kafka-streams-in-action"
rel="nofollow" target="_blank"
><img
src="/images/books/book-kafka-streams-action.png"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.manning.com/books/kafka-streams-in-action"
rel="nofollow" target="_blank"
><img
src="/images/books/book-kafka-streams-in-action.jpg"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.learningjournal.guru/ebook/kafka-streams-real-time-stream-processing/"
rel="nofollow"
><img
src="/images/books/book-kafka-streams-journal.jpg"
alt=""
style="max-width: 100%;"
/></a>
<a
href="https://www.manning.com/books/event-streams-in-action"
rel="nofollow" target="_blank"
><img
src="/images/books/book-event-streams-action.png"
alt=""
style="max-width: 100%;"
/></a>
<a href="https://www.amazon.com/dp/B0863R7MKG/" rel="nofollow" target="_blank"
><img
src="/images/books/book-effective-kafka.png"
alt=""
style="max-width: 100%;"
/></a>
<a href="https://www.kafka-streams-book.com/" rel="nofollow" target="_blank"
><img
src="/images/books/book-kafka-streams-ksqldb.png"
alt=""
style="max-width: 100%;"
/></a>
<a href="https://www.manning.com/books/kafka-in-action" rel="nofollow" target="_blank"
><img
src="/images/books/book-kafka-action.png"
alt=""
style="max-width: 100%;"
/></a>
</p>
<h4 class="anchor-heading">
<a class="anchor-link" id="academic-references-and-papers" href="#academic-references-and-papers"></a>
<a href="#academic-references-and-papers">Academic References and Papers</a>
</h4>
<p>
The following academic papers and publications cover Apache Kafka and/or
the subject of event streaming in general.
</p>
<ul>
<li>
<a
href="https://openproceedings.org/2019/conf/edbt/EDBT19_paper_329.pdf"
rel="nofollow" target="_blank"
>KSQL: Streaming SQL Engine for Apache Kafka</a
>
by Hojjat Jafarpour, Rohan Desai, Damian Guy; EDBT '19: Proceedings of
the 22nd International Conference on Extending Database Technology,
2019
</li>
<li>
<a
href="https://dl.acm.org/doi/10.1145/3242153.3242155"
rel="nofollow" target="_blank"
>Streams and Tables: Two Sides of the Same Coin</a
>
by Matthias J. Sax, Guozhang Wang, Matthias Weidlich, Johann-Christoph
Freytag; BIRTE '18: Proceedings of the International Workshop on
Real-Time Business Intelligence and Analytics, 2018
</li>
<li>
<a
href="https://link.springer.com/referenceworkentry/10.1007/978-3-319-63962-8_196-1"
rel="nofollow" target="_blank"
>Apache Kafka</a
>
by Matthias J. Sax; Encyclopedia of Big Data Technologies, Springer,
Cham, 2018
</li>
<li>
<a
href="https://dl.acm.org/doi/10.14778/2824032.2824063"
rel="nofollow" target="_blank"
>Building a Replicated Logging System with Apache Kafka</a
>
by Guozhang Wang, Joel Koshy, Sriram Subramanian, Kartik Paramasivam,
Mammad Zadeh, Neha Narkhede, Jun Rao, Jay Kreps, Joe Stein; VLDB
Endowment '15: Proceedings of the VLDB Endowment,Vol. 8, No. 12, 2015
</li>
<li>
<a
href="https://www.semanticscholar.org/paper/Liquid%3A-Unifying-Nearline-and-Offline-Big-Data-Fernandez-Pietzuch/e478f9eef5fe91b1fe422b9d7d41b27586749b38"
rel="nofollow" target="_blank"
>Liquid: Unifying Nearline and Offline Big Data Integration</a
>
by Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede,
Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang; CIDR
'15: 7th Biennial Conference on Innovative Data Systems Research, 2015
</li>
<li>
<a
href="http://sites.computer.org/debull/A15dec/p4.pdf"
rel="nofollow" target="_blank"
>Kafka, Samza and the Unix Philosophy of Distributed Data</a
>
by Martin Kleppmann, Jay Kreps, Bulletin of the IEEE Computer Society
Technical Committee on Data Engineering, 2015
</li>
<li>
<a
href="https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying"
rel="nofollow" target="_blank"
>The Log: What every software engineer should know about real-time
data's unifying abstraction</a
>, by Jay Kreps, 2013
</li>
<li>
<a
href="http://sites.computer.org/debull/A12june/pipeline.pdf"
rel="nofollow" target="_blank"
>Building LinkedIn’s Real-time Activity Data Pipeline</a
>
by Ken Goodhope, Joel Koshy, Jay Kreps, Neha Narkhede, Richard Park,
Jun Rao, Victor Yang Ye; Bulletin of the IEEE Computer Society
Technical Committee on Data Engineering, 2012
</li>
<li>
<a href="https://ieeexplore.ieee.org/document/6228206" rel="nofollow" target="_blank"
>Data Infrastructure at LinkedIn</a
>
by Aditya Auradkar et al.; IEEE 28th International Conference on Data
Engineering, 2012
</li>
<li>
<a
href="https://www.microsoft.com/en-us/research/wp-content/uploads/2017/09/Kafka.pdf"
rel="nofollow" target="_blank"
>Kafka: a Distributed Messaging System for Log Processing</a
>
by Jay Kreps, Neha Narkhede, Jun Rao; NetDB workshop '11, 2011
</li>
</ul>
</section>
</div>
<!--#include virtual="includes/_footer.htm" -->
</body>