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Azure Data Engineering Cookbook: Design and implement batch and streaming analytics using Azure Cloud Services
77% من المشترين سيوصون بهذا المنتج لصديق
LYD 437
تفاصيل السعر
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By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
شحن
سريع
استرجاع
مجاني*
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منتجات أصلية %100
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تفاصيل المنتج
| Publisher | Packt Publishing |
| Publication date | April 5, 2021 |
| Language | English |
| Print length | 454 pages |
| ISBN-10 | 1800206550 |
| ISBN-13 | 978-1800206557 |
| Item Weight | 1.84 pounds (830 grams) |
| Dimensions | 7.5 x 1.03 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
من يجب أن يشتري؟
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Data Engineers
Ideal for data engineers seeking practical recipes to implement batch and streaming analytics on Azure platforms.
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Cloud Developers
Useful for cloud developers wanting to integrate Azure data services for scalable analytical solutions across applications.
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Business Analysts
Great for business analysts aiming to understand how to leverage Azure's analytics capabilities for data-driven decisions.
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Beginners
Not suitable for beginners with no prior knowledge of data engineering or Azure services; requires foundational understanding.
وصف المنتج
Azure Data Engineering Cookbook: Design and implement batch and streaming analytics using Azure Cloud Services
أسئلة العملاء & الإجابات
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سؤال:
What is the Azure Data Engineering Cookbook about?
إجابه: The Azure Data Engineering Cookbook serves as a practical guide for designing and implementing efficient data engineering solutions using Azure Cloud Services. It covers various techniques for both batch and streaming analytics, making it ideal for professionals looking to leverage Azure's capabilities. This cookbook includes recipes ranging from setting up data pipelines to optimizing data flow, helping you navigate real-world challenges in data engineering workflows. -
سؤال:
Who should read the Azure Data Engineering Cookbook?
إجابه: This cookbook is tailored for data engineers, developers, and architects who aim to deepen their understanding of Azure's data services. If you're involved in designing data solutions or wish to improve your skills in data analytics, this resource is invaluable. Additionally, beginners in the field of data engineering looking to learn practical applications of Azure will find the step-by-step recipes particularly beneficial. -
سؤال:
What types of recipes are included in the cookbook?
إجابه: The cookbook includes a diverse range of recipes focusing on both batch and streaming analytics. Specific topics cover data ingestion, ETL processes, data transformation, and data storage using Azure services like Azure Data Factory, Azure Synapse Analytics, and Azure Stream Analytics. Each recipe is structured to provide clear methodologies and real-world applications to facilitate learning and implementation. -
سؤال:
Can beginners understand the content in the Azure Data Engineering Cookbook?
إجابه: Yes, beginners can absolutely understand and utilize the content within the Azure Data Engineering Cookbook. The material is designed to progressively build knowledge, starting from foundational concepts to more complex implementations. With detailed explanations and practical examples, even those new to Azure Cloud Services can follow along and apply the lessons to their own scenarios. -
سؤال:
How can I implement batch analytics using this cookbook?
إجابه: To implement batch analytics using the Azure Data Engineering Cookbook, follow the structured recipes focused on batch processing. These recipes provide comprehensive guidance on creating data pipelines that automate the collection, processing, and transformation of data. You'll learn how to leverage Azure tools like Azure Data Factory for orchestrating data workflows, making it easier to analyze historical data sets. -
سؤال:
What are streaming analytics, and how are they addressed in the cookbook?
إجابه: Streaming analytics involve real-time data processing from continuous data streams, allowing businesses to derive insights instantaneously. The Azure Data Engineering Cookbook addresses streaming analytics through dedicated recipes that utilize services like Azure Stream Analytics. You'll learn to set up real-time data ingestion, windowing functions, and how to visualize data dynamically, which is crucial for applications in finance, IoT, and more. -
سؤال:
Does the cookbook cover integration with other Azure services?
إجابه: Indeed, the Azure Data Engineering Cookbook delves into the integration of various Azure services, showcasing how to create cohesive data solutions. It includes recipes that link services such as Azure Blob Storage, Azure SQL Database, and Azure Databricks. This comprehensive approach enables users to leverage the full spectrum of Azure's capabilities, streamlining workflows from data collection to analysis. -
سؤال:
What tools and technologies does the cookbook focus on?
إجابه: The Azure Data Engineering Cookbook focuses on a variety of tools and technologies within the Azure ecosystem, including Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, and more. By familiarizing yourself with these tools through hands-on recipes, you'll not only understand their functionalities but also discover how to effectively leverage them for building robust data engineering solutions tailored to your project needs. -
سؤال:
Can the Azure Data Engineering Cookbook help with job preparation for data engineering roles?
إجابه: Absolutely! The Azure Data Engineering Cookbook is an excellent resource for job preparation. By engaging with its practical recipes, you'll gain hands-on experience and skills relevant to today's data engineering roles. Understanding the use of Azure services enables you to showcase your competence in interviews, build a portfolio of projects, and stay up-to-date with industry standards. -
سؤال:
Where can I buy Azure Data Engineering Cookbook in Libya?
إجابه: You can purchase the Azure Data Engineering Cookbook on Ubuy. They offer a broad selection of books and deliver internationally, making it a reliable option to get your copy whether you are starting your data engineering journey or looking to expand your knowledge in Azure analytics.
Data Modeling & Design Editorial Review
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LYD 437
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كمية:
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
المميزات والفوائد
- Over 90 recipes for data scientists and AI engineers.
- Learn to create and execute real-time processing solutions.
- Master batch processing with Azure Data Factory and Databricks.
- Understand how to work with SQL and NoSQL data stores.
- Gain skills to manage, maintain, and secure Azure services.
- Perfect for database administrators and ETL developers.
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.