Essentialsql: Data Modeling & Relational Data Architecture
Last updated 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.05 GB | Duration: 3h 46m
Last updated 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.05 GB | Duration: 3h 46m
Database Design | Data Model | Data Architecture | Relational Database Design | Database Normalization | Data Modeling
What you'll learn
Understand the fundamental concepts of data architecture and principles of data modeling, including entities, attributes, relationships, and keys.
Understand the various types of data models, including conceptual models, logical models, and physical models.
Be able to choose the appropriate data model for a given situation.
Be able to analyze and design a database using the Entity-Relationship (ER) data model.
Know how to transform a conceptual data model into a logical data model using normalization.
Understand the principles of data modeling and database design to create a well-designed database.
Know how to use data modeling tools, such as ER (Entity Relationship) diagrams and data modeling software, to create and document data models.
Be able to communicate effectively about data modeling concepts and designs with both technical and non-technical audiences.
Requirements
No programming experience is needed.
No prior knowledge of MySQL, SQLServer, PostgreSQL or Oracle is required!
Appreciate basic database concepts such as knowing about columns, rows, and tables.
Interest in a class hyper-focused on database design and data architecture – nothing else!
Description
This course is perfect if you're looking for entry-level course to learn data modeling and relational database table design.Its singular purpose is to teach you relational database logical design using simple to understand English. We'll walk though modeling requirements, building the conceptual data model, and logical database model. Finally we create scripts to create the physical tables. If you looking to understand data architecture, then you'll find this course very practical!Join me as we work through Lou's, the owner of several pizza shops, to model, design and create a database he can use to track is business.In this Course you will Learn to:Create a conceptual data model based on Lou's Pizza Shops' requirements.Use ER (Entity-Relationship) diagrams to model and design database tables and relationships between one another.Appreciate and design around data modification anomalies.Identify a properly formed database table.Answer common interview questions related to relational database normalization and data architecture.Spot a poorly designed table.Communicate with others about table design.Finally understand those confounding normalization rules!Identify database normalization issues within our design and know how to fix them.Use an ERD (Entity Relationship Diagram) to create database scripts.Nothing is worse thanBeing excited to learn something new but not knowing where to start.Wasting time learning the wrong features.Being overwhelmed with options and not know which to use.Imagine Having…Knowledge - Knowing how to quickly understand database design to take your SQL to the next level.Confidence - Feeling good that you’re on the right track.Accomplishment - Having a sense of accomplishment that you've learned something most cannot.Fun - Having fun learning databases!By the time you’ve completed this course you’ll be able to design and implement relational databases using tables, keys, relationships, and SQL commands in MySQL, PostgresSQL, and SQL Server to meet user and operational needs.
Who this course is for:
Students baffled by their professor's database normalization explanations,DBAs seeking common sense definitions of database normal forms.,Anyone studying MySQL, Oracle, or SQL Server wanting to become a better database designer.,People preparing for SQL related job interviews.,Anyone looking to take a class whose singular purpose is to teach you database design.,Anyone who doesn't have time to weed through dense textbooks trying to sort out academic explanations.