{"product_id":"snowflake-recipes-a-problem-solution-approach-to-implementing-modern-data-pipelines-paperback","title":"Snowflake Recipes: A Problem-Solution Approach to Implementing Modern Data Pipelines - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDillon Dayton\u003c\/b\u003e (Author), \u003cb\u003eJohn Eipe\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExplore 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.\u003c\/p\u003e \u003cp\u003eYou'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.\u003c\/p\u003e \u003cp\u003eAuthors 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.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You'll Learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eHandle structured and un- structured data in Snowflake.\u003c\/li\u003e \u003cli\u003eApply best practices and different options for data transformation.\u003c\/li\u003e \u003cli\u003eUnderstand data application development. \u003c\/li\u003e \u003cli\u003eImplement data sharing, data governance and security.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho This book Is For\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eData 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\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExplore 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.\u003c\/p\u003e \u003cp\u003eYou'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.\u003c\/p\u003e \u003cp\u003eAuthors 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.\u003c\/p\u003e \u003cp\u003eYou will: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eHandle structured and un- structured data in Snowflake.\u003c\/li\u003e \u003cli\u003eApply best practices and different options for data transformation.\u003c\/li\u003e \u003cli\u003eUnderstand data application development. \u003c\/li\u003e \u003cli\u003eImplement data sharing, data governance and security.\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDillon Dayton\u003c\/strong\u003e is a data expert with a proven track record in architecting robust and scalable data solutions. With a passion for turning data into a strategic asset, he specializes in data engineering, data products, and data governance. Dillon's deep understanding of the Snowflake Data Cloud and Snowflake SnowPro Core certification, coupled with his extensive experience in professional services, empowers him to help organizations harness the full potential of their data. When not immersed in the world of data, Dillon enjoys exploring the great outdoors through fishing and traveling with his wife.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eJohn Eipe \u003c\/strong\u003eis a Senior Solutions Specialist for CDW and has over 12 years of experience in various roles from enterprise application development to data engineering. He worked primarily with customers from the ecommerce and insurance domain. John is SnowPro(R) Advanced Architect certified and has been working extensively on Snowflake in recent years. Apart from work, he enjoys cooking and time with his kids.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 404\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.86 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 20, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":53595713306931,"sku":"9798868809378","price":64.78,"currency_code":"USD","in_stock":true}],"url":"https:\/\/s3xxpj-vy.myshopify.com\/products\/snowflake-recipes-a-problem-solution-approach-to-implementing-modern-data-pipelines-paperback","provider":"The Celestial Starlit Phoenix ","version":"1.0","type":"link"}