ダウンロード Snowflake Cookbook: Recipes for building modern data warehousing solutions and cloud analytics for scalable business needs (English Edition) fb2 本

Discover Snowflake's integration capabilities with other technologies to load bulk, real-time data into data lakes Key Features Make quicker and better informed business decisions by uncovering key insights from your data Build and scale modern data solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Book Description Snowflake is a unique cloud-based data warehousing platform built from scratch for the cloud. This book will help you to overcome challenges while using Snowflake's services such as data warehousing, augmenting data lakes, model development, and security. The book starts by introducing Snowflake’s unique architecture which places it at the forefront of cloud data warehouses. You’ll explore the data ecosystem and discover how Snowflake integrates with other technologies. As you progress through the chapters, you’ll leverage Snowflake's capability to process a string of SQL statements using Tasks to build data pipelines, and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You’ll also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed with Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What you will learn Teleport on-premise data warehousing practitioners to Snowflake in-cloud analytics Implement superior development practices for a successful Snowflake implementation Equip data warehouse designers with skills to integrate with a broader ecosystem Migrate legacy solutions to Snowflake Optimize performance and costs associated with a Snowflake solution Get to grips with data warehousing techniques such as trend analysis, temporal analytics, and managing processes as transactions Stream Kafka events into Snowflake using Kafka Connector Who This Book Is For This book is for data warehouse developers, data analysts, database administrators, and anyone involved in the design, implementation, and optimization of a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.