Packt – Azure Data Factory for Beginners – Build Data Ingestion

参加 Azure 中元数据驱动的引入框架的初学者准备课程。设计、实施并做好生产准备，同时为实际项目开发新管道

关于本视频

关于设计和实施 Azure 数据管道摄取的初学者友好和综合课程
基于行业以及 Azure 项目中生产就绪数据摄取的提示和技巧
高度实用的课程以及动画理论概念以实现更好的交互性
详细

构建框架现在已成为行业规范，了解如何可视化、设计、计划和实施数据框架已成为一项重要技能。我们将共同构建的框架是元数据驱动的摄取框架。元数据驱动的框架允许公司只需开发一次系统，即可被各种业务集群采用和重用，无需额外开发，从而节省业务时间和成本。将其视为即插即用系统。

本课程的第一个目标是让您加入 Azure 数据工厂平台，以帮助您组装您的第一个 Azure 数据工厂管道。一旦掌握了 Azure 数据工厂开发模式，就可以更轻松地采用相同的模式来载入其他源和数据接收器。

一旦您对构建基本的 Azure 数据工厂管道感到满意，作为第二个目标，我们将继续构建一个成熟且有效的元数据驱动框架，以使摄取更具动态性；此外，我们将以这样一种方式构建框架，即您可以审核每个批处理编排和单个管道运行以进行商业智能和运营监控。

在本课程结束时，您将能够设计、实施并为在 Azure 中的数据摄取做好生产准备。

观众

本课程非常适合有抱负的数据工程师和对 Azure 数据工厂作为 ETL 替代方案感到好奇的开发人员。

您将需要一台基本的个人电脑/笔记本电脑；无需事先了解 Microsoft Azure。

Duration: 6h 29m | Video: 1280×720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 1.69 GB
Genre: eLearning | Language: English

Be part of a beginner’s ready course on metadata-driven ingestion framework in Azure. Design, implement and be production-ready along with developing a new pipeline for a real project

About This Video

A beginner-friendly and comprehensive course on designing and implementing Azure Data pipeline ingestion
Industry-based along with tips and tricks for production-ready data ingestion in an Azure project
The highly practical course along with the theoretical concepts animated for better interactivity
In Detail

Building frameworks is now an industry norm and it has become an important skill to know how to visualize, design, plan, and implement data frameworks. The framework that we are going to build together is the Metadata-Driven Ingestion Framework. Metadata-driven frameworks allow a company to develop the system just once and it can be adopted and reused by various business clusters without the need for additional development, thus saving the business time and costs. Think of it as a plug-and-play system.

The first objective of the course is to onboard you onto the Azure Data Factory platform to help you assemble your first Azure Data Factory pipeline. Once you get a good grip on the Azure Data Factory development pattern, then it becomes easier to adopt the same pattern to onboard other sources and data sinks.

Once you are comfortable with building a basic Azure Data Factory pipeline, as a second objective, we then move on to building a fully-fledged and working metadata-driven framework to make the ingestion more dynamic; furthermore, we will build the framework in such a way that you can audit every batch orchestration and individual pipeline runs for business intelligence and operational monitoring.

By the end of this course, you will be able to design, implement, and get production-ready for data ingestion in Azure.

Audience

This course is ideal for aspiring data engineers and developers that are curious about Azure Data Factory as an ETL alternative.

You will need a basic PC/laptop; no prior knowledge of Microsoft Azure is required.