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- Spark in Action, Second Edition: Covers Apach...
Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala
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Spark in Action, Second Edition teaches you to create end-to-end analytics applications with Spark’s core features including real-time computation, delayed evaluation, and machine learning.
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Detalji o proizvodu
- Covers Apache Spark 3 with examples in Java, Python, and Scala
- Teaches how to take advantage of Spark's core features
- Includes applications for real-time computation, delayed evaluation, and machine learning
- Provides a straightforward multilanguage API for easy implementation
- Includes Java-based examples and code samples hosted on GitHub
- Suitable for beginners without previous experience with Spark, Scala, or Hadoop
| Publisher | Manning |
| Publication date | June 2, 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 576 pages |
| ISBN-10 | 1617295523 |
| ISBN-13 | 978-1617295522 |
| Item Weight | 2.1 pounds (950 grams) |
| Dimensions | 7.38 x 1.3 x 9.25 inches (18.7 x 3.3 x 23.5 cm) |
| Part of series | In Action |
Who Should Buy?
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Data Engineers
Ideal for data engineers looking to deepen their skills in handling big data with Apache Spark.
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Software Developers
Perfect for developers wanting to implement scalable applications using Spark in Java, Python, or Scala.
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Students and Learners
Great for students wanting a comprehensive guide to understand and practice Apache Spark concepts and applications.
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Complete Beginners
Not suitable for those with no prior programming or data processing knowledge, as concepts may be advanced.
OPIS PROIZVODA
Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala
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Data Processing Editorial Review
Spark in Action, Second Edition provides a good mix of physical architecture and coding examples. It offers detailed explanations and well-organized chapters. However, some reviewers found it a bit obscure and felt that it lacked a clear progression of coding examples.
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Pros
- Passionate and detailed explanations
- Well-organized chapters
- Fully-functional code examples
- Companion GitHub site
Cons
- Obscure at times
Product Price History
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Karakteristike i prednosti
- Learn how to take advantage of Spark’s core features
- Applications include real-time computation, delayed evaluation, and machine learning
- Create end-to-end analytics applications
- Includes Java, Python, and Scala code samples hosted on GitHub
- Suitable for those without previous experience with Spark, Scala or Hadoop
- Purchase includes free eBook in PDF, Kindle, and ePub formats
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