|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-amazon-redshift-for-data-warehousing/
课程评论：没有评论
课程名称：动手实践——亚马逊红移数据仓库 概述：亚马逊红移是一个低成本的云数据平台，能够在高性能的列式 SQL 引擎上从千兆字节扩展到拍字节。亚马逊红移将扩展架构的强大功能带入传统数据仓库的世界。在本课程中，您将探索这种低成本的云存储，可以根据您的实际规模和性能需求进行上下扩展。您将学习如何配置一个示例数据仓库。接下来，您将探讨红移的内部工作原理和架构，并了解其快速性能的原因。您将获得实际连接、查询和构建商业智能和数据可视化产品的经验，并学习如何保障、维护和管理您的新平台。到课程结束时，您将能够在这个高性能的列式 SQL 引擎上从千兆字节扩展到拍字节。 关于作者：Colibri Digital 是一家于 2015 年由 James 和 Ingrid Cross 创立的技术咨询公司，旨在帮助客户应对不断变化的复杂新兴技术领域，深耕大数据、数据科学、机器学习和云计算等领域。在过去几年中，他们曾与世界上一些最大和最著名的公司合作，包括一流的投资银行、领先的管理咨询集团以及全球最受欢迎的软饮料公司，帮助这些公司更好地理解数据并以更智能的方式处理数据。 James Cross 是一名大数据工程师和认证的 AWS 解决方案架构师，对数据驱动的应用充满热情。他花费了过去 3-5 年的时间帮助客户设计和实施大规模流式大数据平台、基于云的分析栈和无服务器架构。他的职业生涯始于投资银行，使用 Java 和 SQL Server 等成熟技术，随后转向大数据领域，涉猎 Hadoop 生态系统、大数据工具(Spark)及多种 No-SQL 技术（如 Cassandra、MongoDB、Redis 和 DynamoDB）。他最近的重点是云技术及其在数据分析中的应用。 通过本课程，您将获得关于亚马逊红移的重要知识与实践经验，为数据仓库的构建与管理奠定坚实的基础。
Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high-performance, column-oriented SQL engine. Amazon Redshift brings the power of scale-out architecture to the world of traditional data warehousing.In this course, you will explore this low-cost, cloud-based storage, which can be scaled up or down to meet your true size and performance needs. You will learn to configure a sample data warehouse. Next, you will explore Redshift's internal workings and architecture, and learn what makes it so fast. You will get hands-on experience connecting, querying, and building BI and data viz products and learn how to secure, maintain, and administer your new platform. By the end of this course, you will be able to scale from gigabytes to petabytes on this high-performance, column-oriented SQL engine.About The AuthorColibri Digital is a technology consultancy company founded in 2015 by James and Ingrid Cross. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world's largest and most prestigious companies, including tier 1 investment banks, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.At the frontier of AI, big data and cloud computing, we are Colibri Digital.James Cross is a big data engineer and certified AWS Solutions architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge-scale streaming big data platforms, Cloud-based analytics stacks, and serverless architectures.He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then, he's worked with a huge range of big data tools including most of the Hadoop eco-system, Spark, and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently, his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as a CTO, and more recently with Mckinsey. James is an AWS-certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As the CTO of Scout Solutions Ltd, he built a fully serverless set of API's and an analytics stack based around Lambda and Redshift.
