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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-ibm-industry-data-warehousing-models/
课程评论：没有评论
课程名称：掌握IBM行业数据仓库模型 课程概述： 在本课程中，您将学习到数据仓库的基础知识，包括其重要性和关键组成部分，探索诸如数据存储、原子数据、数据集市、ETL流程和整体数据架构等概念。同时，您将深入了解IBM InfoSphere数据架构器的基础，涵盖其功能、能力以及数据建模的艺术，包括概念模型、逻辑模型和物理模型。 课程将提供实践经验，您可以动手使用InfoSphere数据架构器，学习创建项目，进行数据建模的正向和反向工程，并在真实场景中构建数据模型以及如何发布逻辑和物理模型。此外，您将探索IBM为特定行业数据挑战提供的定制解决方案，了解行业特定模型在金融、医疗、保险、零售和电信领域的好处、成功因素和面临的挑战。 特别强调银行数据模型的部分，您将了解IBM银行数据模型的架构，包括金融服务数据模型(FSDM)的9个数据概念：涉及方、安排、条件、产品、位置、分类、事件、资源项和业务方向项。此外，还涵盖分析需求和维度数据模型，概述8个主要业务领域，包括资产与负债管理、投资管理、支付、盈利能力、合规性、关系营销、风险管理和财富管理。您将详细学习每个数据实体、关系以及数据仓库（原子）模型。 最后，您将观看关于如何使用IBM InfoSphere数据架构器实施IBM银行数据模型的实际演示，探索金融服务数据模型、分析需求与维度数据模型及数据仓库模型的内容。 通过本课程，您将全面掌握IBM行业数据仓库模型，为未来的职业发展奠定坚实基础。
What will you learn:Foundations of Data Warehousing:Gain insights into the importance and key components of data warehousing, exploring concepts like staging, atomic data, data marts, ETL processes, and overall data architecture.IBM InfoSphere Data Architect Mastery:Dive into the basics of IBM InfoSphere Data Architect, exploring its features, capabilities, and the art of data modeling, covering conceptual, logical, and physical modeling.Hands-On Experience:Roll up your sleeves for hands-on sessions with InfoSphere Data Architect. Learn to create projects, practice forward and reverse engineering data modeling, and build data models and how to publish the logical and physical with real-world scenarios.IBM Industry Data Models:Explore the tailored solutions offered by IBM for industry-specific data challenges. Understand the benefits, success factors, and navigate challenges using industry-specific models in financial, healthcare, insurance, retail, and telecommunications.Deep Dive into Banking Data Models:Focus on the IBM Banking Data Model, uncovering its architecture, and:Financial services data model (FSDM) with 9 data concepts such as: Involved Party, Arrangement, Condition, Product, Location, Classification, Event, Resource Item and Business Direction Item. And analytical requirements, and dimensional data model with overview of 8 main business areas of Asset & liability management, Investment management, payments, profitability, Regulatory Compliance, Relationship marketing, Risk management, Wealth Management. Get a detailed walkthrough of each data entity, relationship, and the data warehouse (atomic) model.Practical Demonstration:Witness a practical demonstration of implementing IBM Banking Data Model using IBM InfoSphere Data Architect. Explore the Financial Services Data Model, Analytical Requirements & Dimensional Data Model, and the Data Warehouse Model
