Snowflake Recipes
Apress (Verlag)
979-8-8688-0937-8 (ISBN)
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 proven techniques and step-by-step instructions on ready-to-use recipes covering a wide range of the latest development topics. 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 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
Dillon Dayton 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. John Eipe is 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® Advanced Architect certified and has been working extensively on Snowflake in recent years. Apart from work, he enjoys cooking and time with his kids.
Chapter 1: Introduction to Snowflake.- Chapter 2: Bring Your Data.- 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 and Dashboards.- Chapter 10: Machine Learning and Snowflake.
| Erscheinungsdatum | 24.12.2024 |
|---|---|
| Zusatzinfo | 150 Illustrations, color; 13 Illustrations, black and white; XVI, 404 p. 163 illus., 150 illus. in color. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | AWS • Cloning • Cloud Native • Data Ingestion • Enterprise Data Warehouse • Google Cloud Services • machine learning • Microsoft Azure • Security and Privacy • snowflake • Snowpark • Streaming analytics • unstructured data |
| ISBN-13 | 979-8-8688-0937-8 / 9798868809378 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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