Coursera 笔记

IBM/Introduction to Data Engineering/Module 01 · What is Data Engineering?/Graded Quiz

Introduction to Data Engineering

数据工程概论 · IBM · 77 篇

01What is Data Engineering?什么是数据工程？16

01Welcome to Introduction to Data Engineering数据工程导论课程介绍
02Modern Data Ecosystem现代数据生态系统概览
03Key Players in the Data Ecosystem数据生态系统中的关键角色
04Specializations in Data Engineering数据工程生态系统中的专业化角色
05What is Data Engineering?数据工程的范畴与核心任务
06Viewpoints: Defining Data Engineering数据专业人士论数据工程：定义与区别
07Viewpoints: Evolution of Data Engineering数据工程的演变：近二十年来的变化
08Summary and Highlights总结与要点
09Practice Quiz练习测验
10Graded Quiz评分测验
11Responsibilities and Skillsets of a Data Engineer数据工程师的职责与技能要求
12Viewpoints: Skills and Qualities to be a Data Engineer成功数据工程师所需的技能与特质
13A Day in the Life of a Data Engineer数据工程实战案例：社交媒体情绪分析
14Practice Quiz练习测验
15Summary and Highlights总结与要点
16Graded Quiz评分测验

02The Data Engineering Ecosystem数据工程生态系统23

01Overview of the Data Engineering Ecosystem数据工程师的生态系统构成
02Types of Data数据类型：结构化、半结构化与非结构化
03Understanding Different Types of File Formats常见数据文件类型与格式
04Languages for Data Professionals查询、编程与脚本语言概览
05Summary and Highlights总结与要点
06Practice Quiz练习测验
07Graded Quiz评分测验
08Overview of Data Repositories数据存储库概览：数据库、数据仓库和大数据存储
09RDBMS关系型数据库 (RDBMS)：结构、优势与应用场景
10Data Warehouses, Data Marts, and Data Lakes数据仓库、数据集市与数据湖
11(Optional): Data Lakehouses Explained数据湖仓一体详解（可选）
12ETL, ELT, and Data PipelinesETL、ELT 与数据管道
13Viewpoints: Tools, Databases, and Data Repositories of Choice数据工程师访谈：常用工具、数据库和存储库
14Summary and Highlights总结与要点
15Practice Quiz练习测验
16Graded Quiz评分测验
17Optional Labs for IBM Cloud and Db2IBM Cloud 和 Db2 可选实验
18[Optional] Obtain IBM Cloud Feature Code and Activate Trial Account获取 IBM Cloud 功能码并激活试用账户（可选）
19Foundations of Big Data大数据 (Big Data) 概览：五大 V 特性及其应用
20Viewpoints: Impact of Big Data on Data Engineering大数据对数据工程的影响
21Summary and Highlights总结与要点
22Practice Quiz练习测验
23Graded Quiz评分测验

03Data Engineering Lifecycle数据工程生命周期24

01Architecting the Data Platform数据平台架构分层：从采集到分析
02Factors for Selecting and Designing Data Stores数据存储设计考量：类型、规模与用途
03Security企业级数据平台安全：四大维度与 CIA 三元组
04Viewpoints: Importance of Data Security数据安全的重要性：组织的生命线
05Summary and Highlights总结与要点
06Practice Quiz练习测验
07Graded Quiz评分测验
08How to Gather and Import Data数据获取与导入：方法、工具与存储
09Data Wrangling数据整理 (Data Wrangling)：从原始数据到分析就绪
10Tools for Data Wrangling数据整理软件与工具
11Hands-On Lab: Load data into the Datasette from a CSV file动手实验：从 CSV 文件加载数据到 Datasette
12Summary and Highlights总结与要点
13Graded Quiz评分测验
14Querying and Analyzing Data数据库查询分析技术：基础与进阶应用
15Performance Tuning and Troubleshooting数据工程性能优化与监控：数据管道和数据库
16Lab: Explore your dataset using SQL queries using Datasette实验：使用 Datasette 通过 SQL 查询探索数据集
17Summary and Highlights总结与要点
18Practice Quiz练习测验
19Graded Quiz评分测验
20Governance and Compliance数据治理与合规
21Summary and Highlights总结与要点
22Practice Quiz练习测验
23Graded Quiz评分测验
24Optional: Overview of the DataOps Methodology可选：DataOps 方法论概述

04Career Opportunities and Data Engineering in Action职业机会与数据工程实践14

01Career Opportunities in Data Engineering数据工程职业机遇：市场趋势与成长路径
02Reading: Data Warehousing Specialist阅读：数据仓库专家
03Reading: Data Manager阅读：数据经理
04Viewpoints: Get into Data Engineering走进数据工程：专业人士的职业发展之路
05Data Engineering Learning Path数据工程学习路径
06Viewpoints: What Do Employers Look for in a Data Engineer雇主期望：数据工程师的关键技能与特质
07Viewpoints: The Many Paths to Data Engineering数据工程入门路径：多维度的职业选择
08Viewpoints: Advice to Aspiring Data Engineers数据工程入门建议：构建基础与实践分享
09Summary and Highlights总结与要点
10Practice Quiz练习测验
11Graded Quiz评分测验
12Final Quiz期末测验
13Graded Assignment: Peer Reviewed Assignment评分作业：同行评审作业
14Congratulations and Next Steps祝贺与后续学习

Module 01 · What is Data Engineering?什么是数据工程？

Graded Quiz评分测验

← 上一篇Summary and Highlights总结与要点下一篇 →Overview of the Data Engineering Ecosystem数据工程师的生态系统构成

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