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Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
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Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
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.
Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
artikal br.: 15175664

Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

85% of respondents would recommend this to a friend

artikal br.: 15175664

RSD 4955

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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.

Детаљи о производу

Shop for the 1st Edition of Data Analytics with Spark Using Python from Ubuy Serbia's Data & Analytics series. Explore the world of data science and analysis with this essential book.
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?

Suitable For
  • Data Professionals

    Ideal for data analysts and scientists wanting to leverage Spark's power in analyzing large datasets with Python.

  • Students and Learners

    Beneficial for those studying data analytics or computer science, providing practical insights and coding examples using Python.

  • Python Developers

    Useful for developers familiar with Python looking to extend their skills into big data analytics using Spark.

Not Suitable For
  • Beginners in Analytics

    Not suitable for absolute beginners lacking prior knowledge of data analytics or programming in Python.

OPIS PROIZVODA

Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

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Питања и одговори купаца

  • Pitanje: Како купити Data Analytics with Spark Using Python на мрежи од Убуи-а?

    Odgovor: Лако је куповати Data Analytics with Spark Using Python на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију.
  • Pitanje: Да ли је Data Analytics with Spark Using Python доступан за онлајн куповину у Serbia?

    Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Data Analytics with Spark Using Python није доступан локално, али можете нам веровати у наше услуге експресне испоруке.
  • Pitanje: Колико времена је потребно да се производ добије након наручивања?

    Odgovor: Време испоруке вашег нарученог производа варира у зависности од тога шта сте наручили и начина испоруке који сте изабрали.. Процењено време испоруке се помиње током процеса плаћања, па будите безбрижни док купујете.

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.

Customer Reviews & Ratings

5.0
1 recenzije kupaca
  • 5 zvezda
    100%
  • 4 zvezda
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  • 3 zvezda
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Ocenite ovaj proizvod

Podelite svoja razmišljanja sa drugim kupcima

Прос

  • 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

Цонс

  • Some readers wish for more practical examples

Product Price History

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  • Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.

RSD 4955

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Карактеристике и предности

  • 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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