Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)
genuine image
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)
منتج #: 15175664

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

85% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 15175664

TND 143

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من أمريكا

متوفر فى المخزون
أمريكا مستورد من متجر USA

كمية:

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09
معاملة آمنةمعاملة آمنة

تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
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.
كفالة يو كير:
لا شيء
اختر الباقة
fast shipping

شحن
سريع

free return

استرجاع
مجاني*

تغليف آمن

تغليف آمن

منتجات أصلية %100

منتجات أصلية %100

pci-dss

الامتثال لمعيار PCI DSS

iso certified

حاصل على شهادة ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

أبرز ما يلفت الانتباه

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.

تفاصيل المنتج

Shop for the 1st Edition of Data Analytics with Spark Using Python from Ubuy Tunisia'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)

من يجب أن يشتري؟

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.

وصف المنتج

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

هل لديك أي استفسار؟ تحدث معنا

أسئلة العملاء & الإجابات

  • سؤال: What is 'Data Analytics with Spark Using Python' about?

    إجابه: This book serves as a comprehensive guide to using Apache Spark for data analytics with Python programming. It covers essential concepts of Spark, including its core APIs, data processing techniques, and optimization strategies. The book is ideal for data scientists, developers, and analysts who want to leverage the power of Spark for analyzing large datasets efficiently. By following practical examples and case studies, readers can learn to implement data analytics solutions in real-world scenarios.
  • سؤال: Who is the author of 'Data Analytics with Spark Using Python'?

    إجابه: The book is authored by a well-respected expert in the field of data analytics and big data technology. Their extensive experience in academia and industry provides readers with valuable insights and practical knowledge. The author’s approach to teaching complex topics in a straightforward manner makes the book particularly suitable for both beginners and experienced practitioners looking to enhance their skills.
  • سؤال: Is this book suitable for beginners in data analytics?

    إجابه: Yes, 'Data Analytics with Spark Using Python' is designed to be accessible for beginners. It starts with foundational concepts before gradually introducing more complex topics. Readers can expect to learn step-by-step how to utilize Spark with Python, including data manipulation and analysis techniques. Additionally, the inclusion of practical examples helps reinforce the learning process, making it an excellent resource for those new to data analytics.
  • سؤال: What programming languages are covered in this book?

    إجابه: The primary programming language used in 'Data Analytics with Spark Using Python' is Python, which is widely regarded for its ease of use in data analysis contexts. The book explores how to leverage Python libraries alongside Spark to perform various data processing tasks. Python’s versatile nature makes it an ideal language for both beginners and experienced programmers in the field of data analytics.
  • سؤال: What specific topics does this book cover?

    إجابه: This book covers a range of topics essential for data analytics using Spark, including data loading and transformation, machine learning with Spark MLlib, and data visualization techniques. It also delves into advanced topics such as stream processing and performance optimization, ensuring readers have a well-rounded understanding of big data analytics. By mastering these topics, readers can confidently tackle data challenges in various domains.
  • سؤال: How does this book compare to other data analytics resources?

    إجابه: Compared to other resources, 'Data Analytics with Spark Using Python' stands out for its practical orientation and clear explanations. It combines theory with real-world applications, making it easier for readers to grasp complex concepts. Additionally, the use of Python—a popular language in data science—enhances its relevance in today’s job market. Readers may find this book more engaging and informative than traditional academic texts.
  • سؤال: What is the target audience for this book?

    إجابه: The target audience includes data scientists, analysts, software developers, and students interested in big data and analytics. Whether you are just starting or looking to broaden your knowledge, this book offers valuable insights for anyone involved in data analytics, offering both foundational knowledge and advanced techniques to suit varying experience levels.
  • سؤال: Does this book include practical exercises or projects?

    إجابه: Yes, 'Data Analytics with Spark Using Python' includes practical exercises and projects that encourage hands-on learning. These real-world examples allow readers to apply the theoretical concepts covered in the book to actual data scenarios. By working through these exercises, readers can solidify their understanding and enhance their problem-solving skills in data analytics.
  • سؤال: Where can I find case studies related to data analytics in this book?

    إجابه: Throughout the text, 'Data Analytics with Spark Using Python' includes several case studies that illustrate the application of Spark for data analytics challenges in various industries. These case studies provide context and real-world relevance to the concepts presented, allowing readers to see how Spark is employed to tackle data workloads, making the learning process more impactful.
  • سؤال: Where can I buy Data Analytics with Spark Using Python Addison-Wesley Data & Analytics Series 1st Edition?

    إجابه: To purchase 'Data Analytics with Spark Using Python Addison-Wesley Data & Analytics Series 1st Edition', you can visit Ubuy. They offer a convenient online shopping experience and delivery options in Tunisia. Explore their website for more information on availability and to make your purchase easily.

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.

مراجعات العملاء وتقييماتهم

1 تقييمات العملاء
  • 5 نجمة
    100%
  • 4 نجمة
    0%
  • 3 نجمة
    0%
  • 2 نجمة
    0%
  • 1 نجمة
    0%

أضف تقييم لهذا المنتج

شارك أفكارك مع عملاء آخرين

إيجابيات

  • 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

سلبيات

  • Some readers wish for more practical examples

منصة موثوقة وثقة كاملة للمشتري

trustpilot logo
4.2/5 9477 التقييمات
اطّلع على التقييمات
JK
Jasmin
مشتري موثّق

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · عبر Trustpilot
AG
Anke
مشتري موثّق

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · عبر Trustpilot
H
Hazel
مشتري موثّق

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · عبر Trustpilot
O
Opaleye
مشتري موثّق

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · عبر Trustpilot
AC
Adele
مشتري موثّق

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · عبر Trustpilot
الخروج الآمن شحن عالمي إسترجاع سهل منتجات أصلية

تاريخ سعر المنتج

معلومات مهمة

  • القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
  • ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

TND 143

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09

كمية:

معاملة آمنةمعاملة آمنة

نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
أسرع توصيل عبر الحدود

المميزات والفوائد

  • 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.

ضمان Ubuy

تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.