Mastering Snowflake Platform
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Mastering Snowflake Platform
Embark on the data journey with the ultimate guide to Snowflake mastery KEY FEATURES ● Learn about Snowflake cloud-based data architecture and its basics. ● Learn and implement Snowflake’s unified features with use cases. ● Design and deploy robust enterprise data architectures with Snowflake. DESCRIPTION Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a cost-effective solution, catering to both traditional and modern data needs with zero or minimal maintenance costs. This book helps you grasp Snowflake, guiding you to create complete solutions from start to finish. The starting focus covers Snowflake architecture, key features, native loading and unloading capabilities, ANSI SQL support, and processing of diverse data types and objects. The next part utilizes acquired knowledge to look into implementing data security, governance, and collaborations, utilizing Snowflake's features like data sharing and cloning. The final part explores advanced topics, including streams, tasks, performance optimizations, cost efficiencies, and operationalization with automated monitoring. Real-time use cases and reference architectures are provided to assist readers in implementing data warehouse, data lake, and data mesh solutions with Snowflake. WHAT YOU WILL LEARN ● Introduction to Snowflake and its three-layered architecture. ● Understand Snowflake’s native features. ● Understand the different types of data workloads and their architecture designs. ● Implement query and cost performance optimization using Snowflake native services. ● Introduction to Snowflake’s advanced features like dynamic and event tables. ● Snowflake’s capabilities with extended support to implement large language models. WHO THIS BOOK IS FOR This book is for data practitioners, data engineers, data architects, or every data enthusiast who is keen on learning Snowflake. It does not need any prior experience, however, it is beneficial to have a basic understanding of cloud computing, data concepts and basic programming skills. TABLE OF CONTENTS 1. Getting Started with Snowflake 2. Three Layered Architecture 3. Data Types, Data Objects and SQL Commands 4. Data Loading and Unloading 5. Understanding Streams and Tasks 6. Understanding Snowpark 7. Access Control and Managing Users Roles 8. Data Protection and Recovery 9. Snowflake Performance Optimization 10. Understanding Snowflake Costing and Utilizations 11. Implementing Cost Optimizations 12. Data Sharing 13. Data Cloning 14. Understanding Snowsight 15. Programming Connectors and Drivers 16. Workload Patterns with Snowflake 17. Introduction to Snowflake’s Advance Features
Mastering the Snowflake SQL API with Laravel 10
This book is your essential guide to mastering Snowflake’s SQL API, offering a comprehensive understanding of this powerful tool. In today’s data-driven world, robust, flexible, and scalable solutions are crucial, and Snowflake’s Data Cloud platform is a game-changer in cloud data warehousing and analytics. The book includes examples using both Snowflake and the Laravel PHP Framework, assuming basic knowledge of SQL and Laravel. Key topics include SQL API development, SQL basics, advanced techniques, data security, performance tuning, best practices for data warehousing, integrations, real-world use cases, future trends in data analytics, and leveraging PHP in Laravel for dynamic web applications. This book equips you with the skills to unlock insights, make data-driven decisions, and stay ahead in your industry. Whether you’re aiming to advance your career, enhance your organization’s data infrastructure, or confidently make data-driven decisions, Mastering Snowflake SQL API with Laravel 10 is a must-have resource for excelling in integrated data analytics and cloud data warehousing. What You Will Learn Master SQL fundamentals and advanced techniques Explore data loading, security, and performance optimization Keep up-to-date on best practices for efficient data warehousing Gain insights into real-word use cases Prepare for future Snowflake and data innovations Who This Book is For Data professionals, IT managers, business executives, students, and data enthusiasts.
Jumpstart Snowflake
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. What You Will Learn Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Who This Book Is For Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users