Doctrine & the Database in Symfony 4
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Course Feature
Cost:
Paid
Provider:
SymfonyCasts
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from SymfonyCasts platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 19th, 2023]
This course provides an overview of Doctrine and the Database in Symfony 4. It covers topics such as creating and updating entities with make:entity, generating and using migrations, inserting new data, fetching and querying for data, Doctrine repositories, custom queries and the query builder, fixtures (dummy data) using Faker, and relationships and associations. By the end of the course, participants will have a better understanding of how to use Doctrine and the Database in Symfony 4.
[Applications]
After completing this course, users will be able to apply their knowledge of Doctrine and the database in Symfony 4 to create and update entities, generate and use migrations, insert new data, fetch and query for data, use Doctrine repositories, create custom queries and the query builder, use fixtures to generate dummy data, and create relationships and associations.
[Career Paths]
1. Database Administrator: Database Administrators are responsible for the installation, configuration, and maintenance of databases. They are also responsible for ensuring the security and performance of the database. As technology advances, Database Administrators must stay up to date with the latest trends and technologies in order to remain competitive.
2. Database Developer: Database Developers are responsible for designing, developing, and maintaining databases. They must have a strong understanding of database design principles and be able to create efficient and secure databases. Database Developers must also be able to troubleshoot and optimize existing databases.
3. Database Analyst: Database Analysts are responsible for analyzing data and creating reports. They must have a strong understanding of database design principles and be able to create efficient and secure databases. Database Analysts must also be able to troubleshoot and optimize existing databases.
4. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and extracting meaningful insights from it. They must have a strong understanding of data analysis techniques and be able to create efficient and secure data models. Data Scientists must also be able to troubleshoot and optimize existing data models.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. With the increasing demand for technology professionals, this degree path is becoming increasingly popular.
2. Master of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, network security, and software development. This degree path is ideal for those who want to specialize in a particular area of technology.
3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as data mining, machine learning, and predictive analytics. This degree path is ideal for those who want to specialize in data-driven decision making.
4. Doctor of Philosophy in Computer Science: This degree path focuses on advanced topics in computer science, such as artificial intelligence, robotics, and computer vision. It also covers topics such as distributed systems, computer networks, and software engineering. This degree path is ideal for those who want to pursue a career in research or academia.
Course Provider
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