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Total Size:
37.7 MB
Info Hash:
16BF538B6A6AC4F26974DAB6DC80C914D02F641B
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Added:
April 22, 2026, 11:02 a.m.
Stats:
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(Last updated: April 22, 2026, 11:02 a.m.)
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| ['Dayton D. Snowflake Recipes. A Problem-Solution Approach...2024.pdf'] | 0 bytes |
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37.7 MB
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2026-04-22
| Uploaded by andryold1 | Size 37.7 MB | Health [ 27 /18 ] | Added 2026-04-22 |
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401.9 MB
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2024-02-01
| Uploaded by ZBYSZEK3k | Size 401.9 MB | Health [ 13 /22 ] | Added 2024-02-01 |
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885.8 MB
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2023-08-07
| Uploaded by XXXClub | Size 885.8 MB | Health [ 49 /38 ] | Added 2023-08-07 |
NOTE
SOURCE: Dayton D. Snowflake Recipes. A Problem-Solution Approach...2024
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COVER
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MEDIAINFO
Textbook in PDF format Explore Snowflake’s core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery. This book provides recipes for architecting and developing modern data pipelines on the Snowflake data platform by employing progressive techniques, agile practices, and repeatable strategies. You’ll walk through step-by-step instructions on ready-to-use recipes covering a wide range of the latest development topics. Then build scalable development pipelines and solve specific scenarios common to all modern data platforms, such as, data masking, object tagging, data monetization, and security best practices. Throughout the book you’ll work with code samples for Amazon Web Services, Microsoft Azure, and Google Cloud Platform. There’s also a chapter devoted to solving machine learning problems with Snowflake. Authors Dillon Dayton and John Eipe are both Snowflake SnowPro Core certified, specializing in data and digital services, and understand the challenges of finding the right solution to complex problems. The recipes in this book are based on real world use cases and examples designed to help you provide quality, performant, and secured data to solve business initiatives. What You’ll Learn Handle structured and un- structured data in Snowflake. Apply best practices and different options for data transformation. Understand data application development. Implement data sharing, data governance and security. Who This book Is For Data engineers, scientists and analysts moving into Snowflake, looking to build data apps. This book expects basic knowledge in Cloud (AWS or Azure or GCP), SQL and Python
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