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Snowflake Data Engineering
89% of respondents would recommend this to a friend
NIO 2594
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Snowflake Data Engineering reveals how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features.
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What Stands Out
Detalles de producto
| Publisher | Manning Publications |
| Publication date | January 28, 2025 |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 1633436853 |
| ISBN-13 | 978-1633436855 |
| Item Weight | 1.4 pounds (640 grams) |
| Dimensions | 7.38 x 0.92 x 9.25 inches (18.7 x 2.3 x 23.5 cm) |
Who Should Buy?
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Data Engineers
Ideal for data engineers seeking a scalable platform for building and managing data pipelines efficiently.
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Business Analysts
Perfect for analysts who need to analyze large datasets and derive insights without heavy database management.
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Organizations Scaling
Beneficial for businesses experiencing rapid growth needing a robust data warehousing solution for analytics.
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Small Startups
May not be cost-effective for small startups with limited budgets and simpler data needs.
DESCRIPCIÓN DEL PRODUCTO
Snowflake Data Engineering
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Expert Systems Editorial Review
** Snowflake Data Engineering** Snowflake Data Engineering has garnered a positive reception from its readers, particularly those seeking to deepen their understanding of data engineering within the Snowflake ecosystem. Many reviews highlight the book’s well-structured approach, which effectively guides readers from fundamental concepts to advanced techniques. The author's methodical progression from basic pipeline building to sophisticated features, such as continuous data ingestion and query optimization, has been particularly appreciated. Readers commend the inclusion of practical examples, illustrating each concept in a way that is accessible even for beginners, while seasoned professionals find value in the detailed exploration of advanced topics. The organization of the book into three distinct parts allows readers to build their knowledge incrementally, fostering confidence as they advance through the material. The feedback emphasizes how the book serves as a friendly mentor rather than a dry instructional guide, maintaining reader engagement with an easy-to-follow narrative. Furthermore, the user-friendly explanations of complex ideas make it a solid choice for individuals with minimal experience in ETL processes or Python, and also for those looking to solidify existing knowledge. In summary, Snowflake Data Engineering is enthusiastically recommended for both novices and those with some background in data engineering who wish to enhance their skills in Snowflake. The clear communication of complex topics and the structured learning path contribute to its status as a valuable resource. **
Customer Reviews & Ratings
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ventajas
- Well-structured and organized content
- Step-by-step guidance through complex subjects
- Accessible for beginners and useful for skilled professionals
- Practical examples that aid understanding
- Focus on real-world applications, including cost management and query optimization
Contras
- Some may find specific chapters not necessary if cost structure is not relevant to their needs
Product Price History
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características y beneficios
- Learn to ingest data from cloud and local file systems.
- Transform data using SQL, functions, and stored procedures.
- Orchestrate and monitor data pipelines with streams and tasks.
- Utilize Snowpark to run Python code within your pipelines.
- Optimize data ingestion performance and costs effectively.
- Gain hands-on experience with best practices in data governance.
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