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106582812
Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
90% of respondents would recommend this to a friend
Nº de artículo:
106582812
GTQ 280
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Become a successful data engineer by building and deploying your own data pipelines on Google Cloud.
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What Stands Out
Comprehensive Guide
This guide provides an in-depth look at building scalable data platforms using Google Cloud, making it ideal for aspiring and professional data engineers seeking to enhance their skills.
Hands-on Projects
Incorporating practical projects, this book allows readers to apply concepts in real-world scenarios, effectively bridging theory with practice for better understanding and retention.
Updated Content
The second edition features the latest advancements in Google Cloud technologies, ensuring readers are informed about current trends and best practices in data engineering.
Detalles de producto
| Publisher | Packt Publishing |
| Publication date | April 30, 2024 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 476 pages |
| ISBN-10 | 1835080111 |
| ISBN-13 | 978-1835080115 |
| Item Weight | 1.79 pounds (810 grams) |
| Dimensions | 7.5 x 1.08 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Engineers
Individuals looking to start a career in data engineering and seeking hands-on experience with Google Cloud technologies.
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Cloud Professionals
IT professionals wanting to enhance their skills in cloud-based data solutions, particularly within Google Cloud Platform.
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Data Scientists
Data scientists interested in expanding their knowledge about data engineering to better manage and preprocess data.
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Beginners in Tech
Those with no prior technical background may find the content too advanced and challenging to grasp effectively.
DESCRIPCIÓN DEL PRODUCTO
Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
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Data Modeling & Design Editorial Review
**** "Data Engineering with Google Cloud Platform" by Adi Wijaya stands out as an essential guide for data engineers who aim to elevate their skills in Google Cloud. This 2nd edition offers a comprehensive look into the nuances of data engineering, from foundational concepts to complex, scalable data pipelines. The book expertly caters to both novices and seasoned professionals, striking a balance between big-picture insights and detailed technical execution. One of the book's most commendable features is its structured approach. Wijaya begins by familiarizing readers with key tools such as BigQuery, Cloud Storage, and Cloud Dataflow, gradually weaving in advanced topics like real-time data processing and machine learning integration. This step-by-step progression ensures that learners of all levels can engage with the material effectively. The hands-on tutorials are particularly beneficial, fostering a practical learning environment through direct implementation of concepts. This methodology is enhanced by the inclusion of command-line utilities like gcloud and gsutil, giving readers tangible experience in cloud resource management. Real-world examples further illustrate how these concepts apply to various industries, making the material resonate with professional contexts. However, some users noted that absolute beginners might find certain sections to be fast-paced without prior knowledge of cloud computing fundamentals. Additionally, while the book focuses specifically on GCP, readers seeking comparative insights with other platforms, such as AWS or Azure, may find this aspect lacking. Overall, "Data Engineering with Google Cloud Platform" is a highly recommended resource for anyone invested in mastering the intricacies of data engineering within the GCP ecosystem. With its mix of theory, practical activities, and industry-specific examples, it equips aspiring and practicing data engineers with the essential knowledge needed to thrive. **
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ventajas
- Structured approach that builds knowledge progressively
- Comprehensive coverage of data engineering principles
- Hands-on tutorials with practical exercises
- Real-world use cases enhancing context and application
- Clear explanations of GCP data engineering tools and concepts
Contras
- May be fast-paced for complete beginners in cloud computing
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características y beneficios
- Learn to build and deploy data pipelines on Google Cloud.
- Gain insights into data governance within Google Cloud.
- Explore essential tools like Dataform, DLP, and Dataproc Serverless.
- Receive Google Cloud data engineering certification guidance.
- Adapt foundational principles to cutting-edge practices.
- Ideal for beginners and seasoned professionals in data engineering.
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