现代数据工程师的新武器-Cloud Data Warehouse

本次匠人学院公开课以 “云数仓 - 现代数据工程师的新武器” 为主题，由来自 Cisco Systems 的资深 Data Analysis Manager 龚玺担任讲师。龚玺拥有超过 11 年的数据相关工作经验，在数据工程、数据挖掘和数据分析领域成果颇丰，学术背景横跨数学、统计、运筹学以及计算机等多个学科。 课程全面且深入地探讨了数据在现代商业中的核心价值，以及数据工程师在数据驱动决策过程中所扮演的关键角色。针对传统数据仓库面临的扩展性差、成本高昂、难以处理海量及多样数据等难题，课程引入云数仓这一创新解决方案。不仅详细讲解了云数仓的定义、特点、优势，还列举了 Snowflake、Amazon Redshift、Google BigQuery 等主流平台，并以 Snowflake 为重点，深入剖析其架构、核心功能、虚拟仓库的动态算力分配机制、多语言支持能力以及生态系统集成情况。 此外，课程对云数仓的未来发展趋势进行了前瞻性的展望，包括更强大的自动化与智能化、多云和跨云架构的广泛应用、实时数据处理技术的发展、数据湖与数据仓库的深度融合、更严格的数据安全和隐私保护措施以及生态系统的持续扩展与集成。同时，还明确了数据工程师在云数仓时代需要掌握的关键技能，如并行计算思维、架构和数据模型设计能力、对新兴技术和产品的了解、实践标准的遵循、工具选择能力以及商业理解能力等。无论是数据领域的新手，还是寻求技术突破的资深从业者，都能从本次课程中获得宝贵的知识和实践指导。 English Course Introduction This public class of JR Academy is themed "Cloud Data Warehouse - A New Weapon for Modern Data Engineers". The lecturer is Gong Xi, a senior Data Analysis Manager from Cisco Systems. With over 11 years of experience in the data - related field, Gong Xi has achieved remarkable results in data engineering, data mining, and data analysis. His academic background covers multiple disciplines such as mathematics, statistics, operations research, and computer science. The course comprehensively and deeply explores the core value of data in modern business and the crucial role that data engineers play in data - driven decision - making. In response to the challenges faced by traditional data warehouses, such as poor scalability, high costs, and difficulties in handling massive and diverse data, the course introduces the cloud data warehouse as an innovative solution. It not only explains the definition, characteristics, and advantages of cloud data warehouses in detail but also lists mainstream platforms like Snowflake, Amazon Redshift, Google BigQuery, etc. Taking Snowflake as the focus, it deeply analyzes its architecture, core functions, the dynamic computing power allocation mechanism of virtual warehouses, multi - language support capabilities, and ecosystem integration. In addition, the course looks ahead to the future development trends of cloud data warehouses, including more powerful automation and intelligence, the wide application of multi - cloud and cross - cloud architectures, the development of real - time data processing technology, the in - depth integration of data lakes and data warehouses, stricter data security and privacy protection measures, and the continuous expansion and integration of the ecosystem. At the same time, it also clarifies the key skills that data engineers need to master in the era of cloud data warehouses, such as parallel computing thinking, architecture and data model design capabilities, understanding of emerging technologies and products, compliance with practical standards, tool - selection abilities, and business understanding. Whether you are a novice in the data field or a senior practitioner seeking technological breakthroughs, you can gain valuable knowledge and practical guidance from this course.