03853nam a22005295i 4500 979-8-8688-0938-5 DE-He213 20251030114631.0 cr nn 008mamaa 241220s2024 xxu| s |||| 0|eng d 9798868809385 979-8-8688-0938-5 10.1007/979-8-8688-0938-5 doi QA76.585 UTC bicssc COM091000 bisacsh UTC thema Dayton, Dillon. author. aut http://id.loc.gov/vocabulary/relators/aut 89297 Snowflake Recipes [electronic resource] : A Problem-Solution Approach to Implementing Modern Data Pipelines / by Dillon Dayton, John Eipe. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XVI, 404 p. 163 illus., 150 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1: Introduction to Snowflake -- Chapter 2: Bringing Your Data into Snowflake -- Chapter 3: Handling Atypical Data -- Chapter 4: Data Security and Privacy -- Chapter 5: Handling Near and Real Time Data -- Chapter 6: Programmable Data Pipelines -- Chapter 7: Data Reusability and Monetization -- Chapter 8: Data Recovery and Protection -- Chapter 9: Applications Integration -- Chapter 10: Machine Learning. 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. You will: 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. Cloud Computing. 58386 Python (Computer program language). 64608 Machine learning. 55059 Cloud Computing. 58386 Python. 47553 Machine Learning. 55059 Eipe, John. author. aut http://id.loc.gov/vocabulary/relators/aut 89298 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868809378 Printed edition: 9798868809392 Printed edition: 9798868813511 https://doi.org/10.1007/979-8-8688-0938-5 ZDB-2-CWD ZDB-2-SXPC 65907 65907