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Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
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Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
Nº de artículo: 40417305

Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines

80% of respondents would recommend this to a friend

Nº de artículo: 40417305

CLP 69755

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What Stands Out

Enterprise Integration
Seamlessly integrates with Azure services, making it easier to build, deploy, and manage robust data pipelines tailored for enterprise-level applications.
Scalable Architecture
Offers a highly scalable cloud-based architecture that supports big data workloads, allowing businesses to efficiently process large datasets without performance issues.
Simplified Management
Provides user-friendly tools and dashboards for monitoring and managing data pipelines, reducing operational complexity and enhancing decision-making capabilities.

Detalles de producto

Create, deploy & manage enterprise data pipelines with Azure Databricks, available at Ubuy Chile. Explore the power of distributed data systems for seamless data processing.
Publisher Packt Publishing
Publication date May 25, 2021
Language English
Print length 414 pages
ISBN-10 183864721X
ISBN-13 978-1838647216
Item Weight 1.56 pounds (710 grams)
Dimensions 7.5 x 0.94 x 9.25 inches (19.1 x 2.4 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Engineers

    Ideal for data engineers seeking to create and manage scalable data pipelines using Azure Databricks efficiently.

  • Data Analysts

    Helpful for data analysts who need powerful tools for data transformation and insights generation through collaborative notebooks.

  • Cloud Architects

    Beneficial for cloud architects designing distributed data systems in Azure, taking advantage of Databricks’ integrated analytics services.

Not Suitable For
  • Beginner Users

    Not suitable for beginners unfamiliar with data engineering concepts or cloud technologies, as it may overwhelm them.

DESCRIPCIÓN DEL PRODUCTO

Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines

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Preguntas y respuestas de los clientes

  • Pregunta: ¿Cómo comprar Distributed Data Systems with Azure Databricks: en línea desde Ubuy?

    Respuesta: Es fácil comprar Distributed Data Systems with Azure Databricks: en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
  • Pregunta: ¿Está Distributed Data Systems with Azure Databricks: disponible para comprar en línea en Chile?

    Respuesta: Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Distributed Data Systems with Azure Databricks: no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
  • Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

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Data Warehousing Editorial Review

Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines provides a comprehensive guide for those seeking to learn about Azure Databricks and its functionalities. With its 414 pages, the book covers essential topics such as setting up an Azure workspace, ETL operations, and machine learning integration. Readers have noted that the hands-on approach, especially with practical examples, allows for a better grasp of the material. However, some critics find the content outdated due to UI changes in Azure and changes in public datasets. This book remains a useful resource for beginners aiming to delve into data engineering with Azure Databricks.

Customer Reviews & Ratings

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ventajas

  • Provides detailed explanations on core Databricks functionalities
  • Hands-on examples enhance practical understanding of technology
  • Covers both machine learning and data streaming effectively
  • The author's ambitious approach encourages experimentation
  • Suitable for beginners with minimal knowledge in data engineering

Contras

  • Some content may feel outdated compared to current tutorials

Platform Trust & Buyer Confidence

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