Are you ready to dive into the world of data engineering? You’ll need a solid understanding of how data is stored, processed, and accessed. You’ll need to identify the different types of database that are appropriate for the kind of data you are working with and what processing the data requires.
제공자:
이 강좌에 대하여
최근 조회 7,360회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
Computer and IT literacy. Curiosity about how data is managed.
완료하는 데 약 14시간 필요
영어
자막: 영어
배울 내용
Fundamental Relational Database Design concepts.
Design a relational database architecture.
Work hands-on with Relational Databases such MySQL, PostgreSQL and Db2.
Create tables and load data.
귀하가 습득할 기술
Database (DB) DesignDatabase ArchitectureCloud DatabasesMySQL• Relational Database Management Systems (RDBMS)
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
Computer and IT literacy. Curiosity about how data is managed.
완료하는 데 약 14시간 필요
영어
자막: 영어
제공자:
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Relational Database Concepts
A relational database organizes data into tables that can be linked—or related—based on data common to each. By storing your business data in a relational database, you can retrieve and analyze the data to make important business decisions.
완료하는 데 3시간 필요
13개 동영상 (총 74분), 3 개의 읽기 자료, 4 개의 테스트
완료하는 데 3시간 필요
Using Relational Databases
In this module, you will learn how to use a RDBMS GUI or web interface and SQL statements to create and manage the tables in a relational database and populate them with data. You will also learn how to employ some database design techniques that help improve the integrity of your data and the performance of your queries, including the use of Primary and Foreign keys to define relationships, indexes, normalization, and relational model constraints.
완료하는 데 3시간 필요
11개 동영상 (총 55분), 2 개의 읽기 자료, 4 개의 테스트
완료하는 데 4시간 필요
MySQL and PostgreSQL
MySQL and PostreSQL are two common RDBMS tools for creating and managing relational databases. Both are free and open-source, have download/install and cloud versions, and offer both command-line and desktop and/or web interface options. In this module, you will learn the basics of creating databases and tables, defining keys and constraints in tables, and loading a database with data using MySQL and PostgreSQL. You will also learn how to define views in PostgreSQL to limit access to sensitive data and simplify data retrieval.
완료하는 데 4시간 필요
7개 동영상 (총 31분), 2 개의 읽기 자료, 10 개의 테스트
완료하는 데 4시간 필요
Course Assignment
This module contains the final project for this course. You will consolidate the skills that you learned throughout this course by applying them to a specific scenario. To complete the project successfully, you must demonstrate that you have the skills to design a database from a new set of data, including creating an ERD to identify entities, attributes, and relationships. You will normalize tables, create your database, and load some data. You will also demonstrate some database management tasks by working with views.
완료하는 데 4시간 필요
1개 동영상 (총 8분), 2 개의 읽기 자료, 4 개의 테스트
Data Engineering Foundations 특화 과정 정보
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
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