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所在平台: Udemy |
课程主页: https://www.udemy.com/course/serverless-data-analysis-with-big-query-on-googles-cloud/
课程评论：没有评论
课程名称：谷歌云上的无服务器数据分析与 BigQuery 课程概述： 欢迎参加《谷歌云上的无服务器数据分析与 BigQuery》课程，这是帮助您获得谷歌认证数据工程师的重要系列课程之一。该系列课程将揭示数据工程师在谷歌云平台上的角色。目前，谷歌认证数据工程师是数据和机器学习工程师唯一真实的认证。这门课程并非编程课程，重点是为参加谷歌认证数据工程师考试打下基础。由于 SQL 是课程的先决条件，课程主要以讲座形式进行，但是，此服务在考试中占据重要地位。 BigQuery 是谷歌的完全托管、千兆字节规模、低成本企业数据仓库，适合分析使用。BigQuery 是无服务器的，因此无须管理基础设施，您也不需要数据库管理员，从而可以专注于使用熟悉的 SQL 来分析数据并发现有意义的洞察。我们正处于数据革命之中，数据被广泛认为是真理的来源，数据工程师在 DBA、开发者和数据消费者之间起着桥梁作用。 当今，许多云计算供应商正在向无服务器架构转变。无服务器意味着抽象用户离开服务器和基础设施，不再需要处理低级配置及核心操作系统。开发者只需利用单一用途的服务来执行代码。例如，您可以将数据上传至存储桶，然后针对这些数据运行类似 SQL 的查询，对于数据分析师来说，这无疑是数据分析的圣杯。使用 BigQuery，您可以直接上传 csv 或 json 格式的数据进行查询，支持从几十万到十亿的行。 为何选择此课程的五个理由： 1) 您想成为数据工程师，这是全球最受欢迎的职业之一，职业发展潜力巨大，工作灵活而报酬丰厚。 2) 谷歌认证数据工程师是业界领先的认证，谷歌在数据领域始终走在前列，是唯一提供数据工程认证的云服务商。 3) 数据的增长速度惊人，90%的全球数据在过去两年内产生，企业每天生成约4500亿笔交易。 4) 数据革命正在进行，数据被广泛视为真理的源泉，数据工程师在复杂的数据管理系统中扮演着重要角色。 5) 成为潮流的前沿，数据工程师的角色相对较新，您在学习和获得认证的过程中，将成为这一崭新领域的先行者。 感谢您对《谷歌云上的无服务器数据分析与 BigQuery》课程的关注，我们期待在课程中与您相见！
Welcome to Serverless Data Analysis with Big Query on Google's Cloud This is the second course in a series of courses designed to help you attain the coveted Google Certified Data Engineer. Additionally, the series of courses is going to show you the role of the data engineer on the Google Cloud Platform. At this juncture the Google Certified Data Engineer is the only real world certification for data and machine learning engineers. Note: This is not a programmers course on BigQuery. The goal of this course and the entire series of courses is to provide students with the foundation of the services you'll need to know for the Google Certified Data Engineering Exam. Because SQL is a prerequisite for the course this course is mostly lecture. Don't let that lull to sleep though, this service is heavily covered on the exam. BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. BigQuery is serverless. There is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL. We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA, developer and the data consumer. Beyond the ubiquitous spreadsheet, graduating from RDBMS (which will always have a place in the data stack), we now work with NoSQL and Big Data technologies. Most cloud computing vendors are moving to a serverless architecture. What's serverless? Serverless is about abstracting users away from servers, infrastructure, and having to deal with low-level configuration or the core operating system. Instead, developers make use of single purpose services to execute code. Imagine for a second being able to upload data into a storage bucket and then run SQL like queries against it. Many data analysts call this the grail to data analysis. With BigQuery, that's exactly what you do. There's no spinning up or configuring anything. You upload data in the form of a csv or json file and an query against it. I don't mean a hundred thousand rows. I mean a billion. *Five Reasons to take this Course.* 1) You Want to be a Data Engineer It's the number one job in the world. (not just within the computer space) The growth potential career wise is second to none. You want the freedom to move anywhere you'd like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on. 2) The Google Certified Data Engineer Google is always ahead of the game. If you were to look back at at timeline of their accomplishments in the data space you might believe they have a crystal ball. They've been a decade ahead of everyone. Now, they are the first and the only cloud vendor to have a data engineering certification. With their track record I'll go with Google. 3) The Growth of Data is Insane Ninety percent of all the world's data has been created in the last two years. Business around the world generate approximately 450 billions transactions a day. The amount of data collected by all organizations is approximately 2.5 Exabytes a day. That number doubles every month. 4) The Data Revolution is Here We are in a data revolution. Data used to be viewed as a simple necessity and lower on the totem pole. Now it is more widely recognized as the source of truth. As we move into more complex systems of data management, the role of the data engineer becomes extremely important as a bridge between the DBA and the data consumer. 5) You want to be ahead of the Curve The data engineer role is fairly new. While your learning, building your skills and becoming certified you are also the first to be part of this burgeoning field. You know that the first to be certified means the first to be hired and first to receive the top compensation package. Thank you for your interest in Serverless Data Analysis with Big Query on Google's Cloud and we will see you in the course!!
