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所在平台: Udemy |
课程主页: https://www.udemy.com/course/snowflake-snowpro-advanced-architect/
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课程名称：Snowflake Snowpro 高级：架构师 课程概述： 本课程旨在逐步学习Snowflake及其高级功能。Snowflake Inc.是一家总部位于蒙大拿州博兹曼的云计算数据仓库公司，成立于2012年7月，并于2014年10月公开推出。作为专为云端设计的数据仓库解决方案，Snowflake使成千上万的组织能够无缝访问、探索和共享他们数据的真正价值。相比其他云托管选项，Snowflake提供了最佳的用户体验，其快速响应的用户界面和出色的JSON处理能力，使用户能够轻松入门并逐步过渡到结构化表，或者灵活地保持使用JSON。 Snowflake专为云环境设计，旨在解决传统硬件数据仓库所面临的许多问题，例如可扩展性有限、数据转换问题以及因高查询量引起的延迟或失败。作为面向公众的多租户SaaS服务，Snowflake提供了一个涵盖AWS、Azure和GCP的云数据平台，支持客户将数据工程、数据仓库、数据湖、数据应用、数据交换和数据科学等六种工作负载迁移到云端。Snowflake的优势在于，它能够通过单一的管理平台完成这些任务，而不是依赖多种不同的产品。 本课程专为有兴趣学习Snowflake高级功能并准备Snowpro高级认证的人士设计，课程内容涵盖了如下主题： - Snowflake简介 - 免费账号创建 - Snowflake架构 - 介绍Web界面 - Snowflake中的账户与安全 - Snowflake数据仓库使用最佳实践 - Snowflake中的连接器和驱动程序 - 数据加载与卸载 - 使用Snowflake进行持续数据加载 - 流和任务的操作 - Snowflake中的数据共享 - Snowflake性能调优 - Snowflake中的聚类 - Snowflake中的物化视图 - Snowflake中的查询分析 - Snowflake中的账户使用视图 - Snowflake中的时间旅行 - Snowflake中的克隆 - Snowflake中的数据复制与故障转移 - Snowflake中的半结构化数据 - Python与Snowflake的结合 - 课程作业 - 练习测试 这个课程将帮助参与者掌握Snowflake的高级使用技巧，为其职业发展与认证考试做好充分准备。
Learning Snowflake and its advance features step by stepSnowflake Inc. is a cloud computing-based data warehousing company based in Bozeman, Montana. It was founded in July 2012 and was publicly launched in October 2014. Snowflake was natively designed for Cloud, where thousands of organizations have seamless access to explore, share, and unlock the true value of their data. Snowflake has the best UX out of all the cloud-hosted options, with a fast and responsive UI console and great JSON handling. This makes it easy to get started and transition to structured tables later, or just stick with JSON for flexibility.As mentioned above Snowflake is built specifically for the cloud, and it's designed to address many of the problems found in older hardware-based data warehouses, such as limited scalability, data transformation issues, and delays or failures due to high query volumes. Snowflake is a public facing multi-tenant SaaS service. It provides a Cloud Data Platform that spans AWS, Azure, and GCP. It helps customers move the following six workloads to the Cloud: Data Engineering, Data Warehouse, Data Lake, Data Applications, Data Exchange, and Data Science. The benefit of Snowflake is that it can do this with a single managed platform rather than many different products.This course is designed for those who are interested in learning the advance features of Snowflake along with preparing for Snowpro Advance certification. Here is the agenda based on the Snowpro advance certification examIntroduction Of SnowflakeFree Account creation Snowflake ArchitectureIntroducing Web InterfaceAccount And Security In SnowflakeBest practices for using warehouse in SnowflakeConnectors And Drivers In SnowflakleData Loading And UnloadingContinuous Data Loads Using SnowflakeWorking With Streams And TaskData Sharing In SnowflakePerformance Tuning In SnowflakeClustering In SnowflakeMaterialized Views In SnowflakeQuery Profiles In SnowflakeAccount_Usage Views In SnowflakeTime Travel In SnowflakeCloning In SnowflakeData Replication And Failover In SnowflakeSemi Structured Data In SnowflakePython And SnowflakeAssignmentPractice Test
