Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition
genuine image
Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition
Discover the value of big data analytics that leverage the power of the cloud
Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition
Numéro d'article: 38392024

Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition

Numéro d'article: 38392024

DZD 5355

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Vendredi, Août 28
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Discover the value of big data analytics that leverage the power of the cloud
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Cloud Integration
Seamlessly integrates Apache Spark with Azure Databricks for powerful analytics, enabling users to leverage cloud capabilities without extensive setup or configuration.
User-Friendly Guide
Designed for beginners, it offers a step-by-step approach, simplifying complex concepts and providing practical examples to quickly advance users' understanding of large cluster analytics.
Scalable Solutions
Equips readers with techniques to effectively manage and scale large datasets, ensuring performance optimization and resource efficiency in cloud environments.

Détails du produit

Unlock the power of large cluster analytics in the cloud with Beginning Apache Spark Using Azure Databricks. Buy now from Ubuy Algeria and revolutionize your data analysis workflows.
  • A comprehensive guide to using Apache Spark with Azure Databricks
  • Covers large cluster analytics and cloud-based data processing
  • Provides insights into unleashing the power of big data analytics
  • Written in a beginner-friendly manner for easy comprehension
  • Includes real-world examples and hands-on exercises
  • 1st edition updated to reflect the latest features and best practices
Publisher Apress
Publication date June 12, 2020
Edition First Edition
Language English
Print length 291 pages
ISBN-10 1484257804
ISBN-13 978-1484257807
Item Weight 1.25 pounds (570 grams)
Dimensions 7.01 x 0.66 x 10 inches (17.8 x 1.7 x 25.4 cm)

À qui est-ce destiné ?

Suitable For
  • Data Engineers

    Perfect for data engineers looking to implement large-scale data processing using Apache Spark in Azure Databricks.

  • Cloud Analysts

    Ideal for analysts wanting to dive deep into cloud-based analytics using big data tools and technologies.

  • Students & Learners

    Great for students wanting to learn about Apache Spark in a practical, hands-on environment using Databricks.

Not Suitable For
  • Absolute Beginners

    Not suitable for complete novices unfamiliar with programming or cloud computing concepts, as it requires foundational knowledge.

DESCRIPTION DU PRODUIT

Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is 'Beginning Apache Spark Using Azure Databricks' about?

    répondre: Beginning Apache Spark Using Azure Databricks is a comprehensive guide designed for those looking to harness the power of big data analytics using Apache Spark within the Azure Databricks environment. This book covers foundational concepts of Spark, and how to utilize Databricks for efficient data workflows. It’s perfect for data scientists, analysts, and developers who want to improve their data processing capabilities by learning to handle large datasets intelligently and effectively in the cloud.
  • question: Who is the target audience for this book?

    répondre: This book primarily targets data professionals such as data engineers, data scientists, and business analysts who aim to enhance their skills in big data analytics. It’s also suitable for beginners who are new to Apache Spark and cloud computing. With practical examples and step-by-step methodologies, readers from various levels of experience can effectively learn how to deploy Spark within Azure Databricks, making it an excellent resource for both novices and seasoned professionals.
  • question: What skills can I expect to gain from reading this book?

    répondre: Readers can expect to gain hands-on skills in using Apache Spark for large-scale data processing, cloud computing techniques, and familiarity with the Azure Databricks platform. The book aims to equip readers with the ability to develop Spark applications, perform data analysis, and optimize performance for large datasets. These skills are crucial in today’s data-driven industries, enhancing career prospects in roles related to data analytics and cloud computing.
  • question: How does Azure Databricks enhance Apache Spark’s functionality?

    répondre: Azure Databricks significantly enhances Apache Spark by offering a collaborative environment that integrates seamlessly with Azure's ecosystem. It simplifies cluster management, provides autoscaling features, and allows for streamlined workflow management. Thus, users can focus on building and executing their analyses without getting bogged down by infrastructure concerns. For teams needing to collaborate on data-intensive projects, Databricks can vastly improve productivity and efficiency.
  • question: Is prior knowledge of Apache Spark necessary to understand the book?

    répondre: While prior knowledge of Apache Spark can be beneficial, it is not a strict requirement. The book is designed with beginners in mind and starts with the essential concepts before diving into more advanced topics. Readers new to Spark can grasp the foundational material presented in the earlier chapters, enabling them to build upon that knowledge as they progress through more complex analytics projects in the book.
  • question: Are there practical examples included in the book?

    répondre: Yes, the book includes multiple practical examples and case studies that allow readers to see how theoretical concepts are applied in real-world scenarios. These examples facilitate a deeper understanding of Apache Spark’s capabilities and demonstrate how to solve common data analytics challenges. Readers will work through practical exercises and project-like experiences that prepare them to use Spark effectively in their own work environments.
  • question: What sets this book apart from other Apache Spark books?

    répondre: This book distinguishes itself by combining the powerful analytics of Apache Spark with Azure Databricks’ cloud-based environment, which many other books do not focus on. It provides specific insights into leveraging the cloud for scalable analytics, offers a comprehensive approach with up-to-date examples, and is tailored for developers who want to leverage both technologies. This combination equips readers with relevant skills necessary for modern data analytics challenges.
  • question: Can I use this book for self-study?

    répondre: Absolutely! The structured layout and clear explanations make this book ideal for self-study. Each chapter builds on the previous one, providing both the knowledge base and practical applications necessary for mastering Apache Spark and Azure Databricks. With a mix of theory and practice, learners can systematically work through the content at their own pace, developing a strong understanding of how to effectively utilize these technologies for data analytics.
  • question: What types of analytics projects can I undertake after reading this book?

    répondre: After reading this book, you can undertake various analytics projects such as data cleaning and transformation processes, creating machine learning models using large datasets, or building data pipelines for real-time analytics. These projects will enhance your understanding and give you practical experience that can be applied in many industries such as finance, retail, healthcare, and beyond. The skills you gain will enable you to tackle complex data challenges competently.
  • question: Where can I buy 'Beginning Apache Spark Using Azure Databricks'?

    répondre: You can purchase 'Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud First Edition' conveniently at Ubuy. Ubuy offers a user-friendly online shopping experience, ensuring you can find and acquire this essential resource for your data analytics journey in Algeria.

Software Development Editorial Review

In spite of being a new release, this book has left a good impression on customers. The author has managed to present professional writing with a touch of humor, making the read engaging without sacrificing important details. One reviewer praises the book for introducing key concepts and use cases in a flexible manner, while another reviewer found the book inadequate in depth and organization. However, a third reviewer notes that the author does an excellent job simplifying complex subject matter, making this book a great start for anyone interested in the data engineering or analytics field. Overall, this book seems to be a worthwhile and beneficial investment for anyone interested in big data and Databricks.

Avis et évaluations clients

1 évaluations des clients
  • 5 étoile
    0%
  • 4 étoile
    100%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

  • Engaging and professional writing style with a touch of humor
  • Introduces key concepts and use cases flexibly
  • Simplifies complex subject matter for beginners

Les inconvénients

  • Inadequate depth and organisation

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9250 + reviews
Lire les avis
MA
Mohammad
Acheteur vérifié

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Acheteur vérifié

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Acheteur vérifié

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Acheteur vérifié

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Acheteur vérifié

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

DZD 5355

Commandez maintenant et recevez votre commande aux alentours du Vendredi, Août 28

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Learn how to analyze vast amounts of data in record time
  • Utilize Apache Spark with Databricks in the Cloud
  • Squeeze the most value out of your data at a fraction of the cost
  • No need for expensive experts and hardware
  • Run basic analytics, including machine learning, on billions of rows
  • Suitable for data engineers, data scientists, and cloud architects

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.