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Score
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| 1 |
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Designing Data-Intensive Applications
by
Martin Kleppmann (Goodreads Author)
4.70 avg rating — 10,175 ratings
score: 200,
and
2 people voted
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| 2 |
|
Database Internals: A deep-dive into how distributed data systems work
by
Alex Petrov (Goodreads Author)
4.25 avg rating — 531 ratings
score: 198,
and
2 people voted
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| 3 |
|
Streaming Systems
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3.89 avg rating — 169 ratings
score: 196,
and
2 people voted
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| 4 |
|
Concurrency: The Works of Leslie Lamport (ACM Books)
by
Dahlia Malkhi (editor)
4.17 avg rating — 6 ratings
score: 195,
and
2 people voted
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| 5 |
|
Making Sense of Stream Processing
by
Martin Kleppmann (Goodreads Author)
4.25 avg rating — 189 ratings
score: 192,
and
2 people voted
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| 6 |
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Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
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4.18 avg rating — 100 ratings
score: 184,
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2 people voted
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| 7 |
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Designing Event-Driven Systems
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3.82 avg rating — 354 ratings
score: 98,
and
1 person voted
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| 8 |
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Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker
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3.67 avg rating — 9 ratings
score: 95,
and
1 person voted
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| 9 |
|
Event Streams in Action
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3.44 avg rating — 50 ratings
score: 94,
and
1 person voted
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| 10 |
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Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
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4.16 avg rating — 717 ratings
score: 93,
and
1 person voted
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| 11 |
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Fast Data Architectures for Streaming Applications
by
Dean Wampler (Goodreads Author)
3.62 avg rating — 47 ratings
score: 91,
and
1 person voted
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| 12 |
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Distributed Algorithms for Message-Passing Systems
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4.30 avg rating — 10 ratings
score: 90,
and
1 person voted
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| 13 |
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Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
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4.21 avg rating — 58 ratings
score: 89,
and
1 person voted
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| 14 |
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Distributed Systems For Fun and Profit
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4.20 avg rating — 374 ratings
score: 88,
and
1 person voted
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| 15 |
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High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
by
Holden Karau (Goodreads Author)
3.98 avg rating — 128 ratings
score: 87,
and
1 person voted
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| 16 |
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Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale
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4.20 avg rating — 25 ratings
score: 86,
and
1 person voted
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| 17 |
|
Streaming Data: Understanding the real-time pipeline
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3.49 avg rating — 71 ratings
score: 84,
and
1 person voted
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| 18 |
|
Elasticsearch in Action
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4.01 avg rating — 97 ratings
score: 83,
and
1 person voted
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| 19 |
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Kafka Streams in Action: Real-time apps and microservices with the Kafka Streams API
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4.05 avg rating — 114 ratings
score: 82,
and
1 person voted
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| 20 |
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Big Data
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3.82 avg rating — 490 ratings
score: 81,
and
1 person voted
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| 21 |
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Lucene in Action
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3.75 avg rating — 20 ratings
score: 80,
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1 person voted
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| 22 |
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Apache Kafka - Building Data Streaming Applications
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2.73 avg rating — 11 ratings
score: 79,
and
1 person voted
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| 23 |
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Spark: The Definitive Guide: Big Data Processing Made Simple
by
4.15 avg rating — 280 ratings
score: 78,
and
1 person voted
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Tags:
big-data, data-engineering, data-science, data-warehouse, database, datalake, flink, kafka, spark
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