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- Data Engineering with dbt: A practical guide ...
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
90% من المشترين سيوصون بهذا المنتج لصديق
JOD 29
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
كمية:
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
Build automated and reliable pipelines to deploy, test, run, and monitor ELTs with dbt Cloud.
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
أبرز ما يلفت الانتباه
تفاصيل المنتج
| Publisher | Packt Publishing |
| Publication date | June 30, 2023 |
| Edition | 1st |
| Language | English |
| Print length | 578 pages |
| ISBN-10 | 1803246286 |
| ISBN-13 | 978-1803246284 |
| Item Weight | 2.16 pounds (980 grams) |
| Dimensions | 7.5 x 1.31 x 9.25 inches (19.1 x 3.3 x 23.5 cm) |
من يجب أن يشتري؟
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Data Engineers
Ideal for data engineers who want to develop practical skills in building reliable data pipelines using dbt and SQL.
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Data Analysts
Beneficial for analysts looking to enhance their data transformation capabilities and streamline reporting processes with dbt.
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Cloud Enthusiasts
Perfect for professionals interested in leveraging cloud technologies for building modern, efficient data platforms.
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Beginner Programmers
Not suitable for users with little to no programming experience, as the content assumes basic SQL knowledge.
وصف المنتج
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
أسئلة العملاء & الإجابات
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سؤال:
What is the main focus of 'Data Engineering With Dbt'?
إجابه: The book centers around building an effective cloud-based data platform using dbt (data build tool). It provides practical insights into transforming and modeling your data reliably with SQL. Readers can expect to learn expert tips on how to create a solid data pipeline, streamline data workflows, and ensure data quality. This is particularly useful for data engineers, analysts, and professionals looking to implement modern data practices in their organizations. -
سؤال:
Who should read 'Data Engineering With Dbt'?
إجابه: This guide is ideal for data engineers, analytics professionals, and anyone interested in mastering data transformation and modeling principles. Whether you're a beginner looking to understand the basics or a seasoned professional aiming to enhance your skills with dbt, this book offers valuable insights. Use cases include building analytics projects for businesses or optimizing existing data workflows, making it a versatile resource for various career stages. -
سؤال:
What skills can I expect to learn from this book?
إجابه: Readers will acquire a range of skills, including SQL proficiency, data modeling techniques, and how to implement dbt effectively in cloud environments. The book covers best practices in data infrastructure, which are crucial for creating efficient and dependable data platforms. Gaining these skills can dramatically improve your ability to turn raw data into actionable insights, making it a must-read for professionals involved in data-driven decision-making. -
سؤال:
Is this book suitable for beginners in data engineering?
إجابه: Yes, 'Data Engineering With Dbt' is suitable for beginners as it starts with foundational concepts before advancing to practical applications. The author breaks down complex topics into digestible information, providing real-world examples and easy-to-follow guidance. This makes it a great resource for newcomers to data engineering who want to build confidence before tackling more complex projects or tools. -
سؤال:
How does this book address data quality and integrity?
إجابه: The book emphasizes the importance of data quality, providing methodologies and frameworks for ensuring data accuracy and reliability. Readers will learn how to set up testing and validation processes using queries in dbt, which are vital for maintaining high standards in data engineering. Practical scenarios throughout the text offer insights into overcoming common data integrity challenges faced in various business contexts. -
سؤال:
What technologies and tools are discussed in 'Data Engineering With Dbt'?
إجابه: The book primarily focuses on dbt, but also discusses complementary tools and technologies that enhance data engineering practices. You'll learn how to integrate cloud services, data warehouses, and other analytics solutions with dbt to build robust data platforms. This knowledge helps you create a cohesive data ecosystem tailored to your organization's needs, making it beneficial for companies planning to scale their data operations. -
سؤال:
Can I apply the concepts from this book in real-world projects?
إجابه: Absolutely! The practical approach taken in 'Data Engineering With Dbt' ensures that concepts can be applied directly to real-world data projects. Each chapter includes case studies and examples that illustrate how the techniques and principles can be implemented in various business scenarios, enabling readers to easily transform theoretical knowledge into practical skills. -
سؤال:
Are there any prerequisites for understanding the contents of this book?
إجابه: While it's beneficial to have a basic understanding of SQL and data structures, the book is designed to be accessible even to those with minimal experience. The foundational chapters set the stage for deeper insights into dbt and cloud-based platforms. Thus, readers can familiarize themselves with necessary concepts while progressively building more advanced skills throughout the book. -
سؤال:
How does dbt compare with traditional data engineering tools?
إجابه: Dbt offers a modern approach to data engineering by focusing on the transformation phase of data workflows. Unlike traditional tools that often set up complex ETL processes, dbt simplifies the transformation process with an emphasis on modular SQL development, making it easier to maintain and scale. This modern approach helps organizations achieve faster development cycles and better collaboration among data teams. -
سؤال:
Where can I buy 'Data Engineering With Dbt A Practical Guide To Building A Cloud-based, Pragmatic, And Dependable Data Platform With SQL'?
إجابه: You can purchase 'Data Engineering With Dbt A Practical Guide To Building A Cloud-based, Pragmatic, And Dependable Data Platform With SQL' at Ubuy in Jordan. Ubuy offers a range of options for accessing this book, making it convenient to find everything you need for your data engineering journey.
Electronic Data Interchange (EDI) Editorial Review
مراجعات العملاء وتقييماتهم
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5 نجمة
100%
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4 نجمة
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3 نجمة
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2 نجمة
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1 نجمة
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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.
JOD 29
اطلب الآن واحصل عليه حول الأربعاء, أكتوبر 07
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
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
- Learn modern data modeling and analytics engineering with dbt.
- Create reliable data pipelines using SQL and Python.
- Gain hands-on experience with dbt Cloud and Snowflake.
- Develop easy-to-understand, future-proof data architectures.
- Test and monitor data transformations for accuracy and quality.
- Build your data platform with proven patterns and best practices.
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.