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Item #:
15175664
Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
85% of respondents would recommend this to a friend
Item #:
15175664
SEK 471
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Spark is at the heart of today’s Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks.
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What Stands Out
Comprehensive Coverage
Offers an extensive exploration of data analytics concepts using Spark and Python, equipping readers with the necessary skills to tackle complex data challenges efficiently.
Practical Examples
Includes hands-on examples and case studies, ensuring learners can directly apply theoretical knowledge to real-world data scenarios, enhancing understanding and retention.
Expert Insights
Authored by industry experts, providing unique perspectives and proven techniques that refine analytical skills and promote effective data-driven decision-making.
Product Details
| Publisher | Addison-Wesley Professional |
| Publication date | June 6, 2018 |
| Edition | 1st |
| Language | English |
| Print length | 320 pages |
| ISBN-10 | 9780134846019 |
| ISBN-13 | 978-0134846019 |
| Item Weight | 1.15 pounds (520 grams) |
| Dimensions | 0.8 x 6.9 x 9 inches (2 x 17.5 x 22.9 cm) |
Who Should Buy?
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Data Professionals
Ideal for data analysts and scientists wanting to leverage Spark's power in analyzing large datasets with Python.
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Students and Learners
Beneficial for those studying data analytics or computer science, providing practical insights and coding examples using Python.
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Python Developers
Useful for developers familiar with Python looking to extend their skills into big data analytics using Spark.
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Beginners in Analytics
Not suitable for absolute beginners lacking prior knowledge of data analytics or programming in Python.
Product Description
Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
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Data Mining Editorial Review
Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series) presents a thorough approach for those venturing into Big Data through the lens of Python. The book, published by Addison-Wesley Professional on June 6, 2018, spans 320 pages and is targeted at readers familiar with programming. While some reviews highlight the book's detailed technology coverage, others express disappointment over the lack of practical examples and a focus on essential aspects like exploratory data analysis. However, for seasoned coders transitioning to Big Data from traditional databases, it solidifies the foundational knowledge needed to harness PySpark effectively.
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Pros
- Cohesive code snippets enhance understanding
- Great resource for learning PySpark
- Well-structured for experienced programmers
- Excellent coverage of Spark architecture
- Focuses on advanced concepts rather than basics
Cons
- Some readers wish for more practical examples
Product Price History
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SEK 471
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Features & Benefits
- Leverage Spark and PySpark for enhanced data analytics.
- Accessible to professionals with little prior Big Data or Spark experience.
- Covers both foundational concepts and advanced programming techniques.
- Hands-on exercises prepare you to solve real-world data problems.
- Includes integration with SQL and nonrelational data stores.
- Focus on streaming, structured, semi-structured, and unstructured data processing.
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