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Database Development
Academy > Courses > Database > Database Development

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Database

Last Update: Jul 03, 2024

Database Development

  • Free

About Course

A Database Development course is designed to equip students with the knowledge and skills necessary to design, implement, and manage databases. This course covers fundamental concepts of database systems, SQL programming, database design, and advanced topics such as database security, performance tuning, and distributed databases.

Course Objectives

  • Understand the principles of database systems and data modeling.
  • Gain proficiency in SQL for database creation, querying, and manipulation.
  • Learn to design efficient and normalized database schemas.
  • Acquire skills in database administration, including backup, recovery, and security.
  • Understand advanced topics such as data warehousing, distributed databases, and NoSQL databases.
  • Develop practical skills through hands-on projects and real-world scenarios.
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What Will You Learn?

  • Core Concepts and Principles
  • Fundamentals of Database Systems: Understand the basic concepts and importance of databases in various applications.
  • Types of Databases: Learn about different types of databases, including relational, NoSQL, and in-memory databases.
  • Database Design and Data Modeling
  • Entity-Relationship Modeling: Master ER diagrams to represent data relationships.
  • Normalization: Learn techniques to organize data efficiently, reduce redundancy, and ensure data integrity.
  • Schema Design: Develop skills to create conceptual, logical, and physical database schemas.
  • SQL Programming
  • SQL Basics: Understand the fundamentals of SQL, including syntax and structure.
  • Data Definition Language (DDL): Learn to create and modify database structures (e.g., tables, indexes).
  • Data Manipulation Language (DML): Gain proficiency in querying and manipulating data (e.g., SELECT, INSERT, UPDATE, DELETE).
  • Advanced SQL: Explore complex queries, joins, subqueries, and set operations.
  • Stored Procedures and Functions: Create reusable SQL code for complex operations.
  • Database Management Systems (DBMS)
  • Popular DBMS: Gain knowledge of widely-used DBMS such as MySQL, PostgreSQL, Oracle, and SQL Server.
  • Installation and Configuration: Learn how to install and configure DBMS software.
  • DBMS Architecture: Understand the components and architecture of DBMS.
  • Database Administration
  • User Management: Manage database users and roles, set permissions, and enforce security policies.
  • Backup and Recovery: Implement strategies for backing up and restoring databases.
  • Performance Tuning: Optimize database performance through indexing, query optimization, and resource management.
  • Monitoring and Maintenance: Monitor database health and perform regular maintenance tasks.
  • Advanced Database Topics
  • Transactions and Concurrency Control: Ensure data consistency and integrity in multi-user environments.
  • Views, Triggers, and Indexes: Utilize database objects to enhance functionality and performance.
  • Data Warehousing: Understand the concepts of data warehousing and online analytical processing (OLAP).
  • Distributed Databases and Replication: Explore distributed database systems and data replication techniques.
  • NoSQL Databases: Introduction to NoSQL databases like MongoDB and Cassandra, including their use cases and advantages.
  • Data Integration and ETL
  • ETL Processes: Learn to extract, transform, and load data from various sources into a database.
  • Data Integration: Techniques and tools for integrating data from different systems.
  • APIs: Work with APIs to fetch and manipulate external data.
  • Big Data and Analytics
  • Big Data Technologies: Introduction to big data frameworks such as Hadoop and Spark.
  • Database Solutions for Big Data: Understand how to manage and analyze big data using database technologies.
  • Data Analytics and Business Intelligence: Techniques for analyzing data and generating business insights.
  • Practical Application
  • Hands-on Labs: Engage in practical exercises to apply theoretical knowledge.
  • Projects: Work on real-world projects to design and implement database solutions.
  • Case Studies: Analyze real-world scenarios to understand the application of database concepts.
  • Soft Skills Development
  • Problem-Solving Skills: Develop the ability to solve complex database-related problems.
  • Analytical Thinking: Enhance your ability to think critically and analyze data effectively.
  • Communication Skills: Learn to communicate database designs and solutions clearly to stakeholders.
  • Certification Preparation
  • Exam Guides and Practice Tests: Resources to prepare for certification exams in database development and administration.

Course Content

Introduction to Databases
Overview of database systems. Types of databases (relational, NoSQL, etc.). Database applications and use cases.

Database Design and Data Modeling
Entity-Relationship (ER) modeling. Normalization and database schema design. Conceptual, logical, and physical design.

SQL Programming
Basics of SQL (Structured Query Language). Data definition language (DDL) and data manipulation language (DML). Advanced SQL queries, joins, subqueries, and indexing.

Database Management Systems (DBMS)
Overview of popular DBMS (e.g., MySQL, PostgreSQL, Oracle, SQL Server). Installation and configuration of DBMS. DBMS architecture and components.

Database Administration
User management and database security. Backup and recovery strategies. Performance tuning and optimization. Monitoring and maintenance of databases.

Advanced Database Topics
Transactions and concurrency control. Stored procedures, triggers, and views. Data warehousing and OLAP (Online Analytical Processing). Distributed databases and replication. Introduction to NoSQL databases (e.g., MongoDB, Cassandra).

Data Integration and ETL
Data extraction, transformation, and loading (ETL) processes. Data integration techniques and tools. Working with APIs and data from different sources.

Big Data and Analytics
Introduction to big data technologies (e.g., Hadoop, Spark). Database solutions for big data. Data analytics and business intelligence.

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  • Tag
Free
Free access this course
  • Intermediate
  • 0 Total Enrolled
  • 50 hours Duration
  • July 3, 2024 Last Updated

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Material Includes

  • Textbooks and E-Books
  • Core Textbooks: Authoritative books covering key concepts, methodologies, and best practices in database development.
  • E-Books: Digital versions of textbooks and additional reading materials accessible online.
  • Lecture Notes and Slides
  • Lecture Notes: Detailed notes that accompany lectures, summarizing key points and concepts.
  • Presentation Slides: Slides used during lectures, available for review and study.
  • Video Lectures and Tutorials
  • Recorded Lectures: Video recordings of live lectures for students to watch at their own pace.
  • Tutorials: Step-by-step video guides on specific tools, techniques, and methodologies.
  • Case Studies and Real-World Examples
  • Case Studies: In-depth analyses of real-world business scenarios, illustrating the application of database development techniques.
  • Examples: Practical examples demonstrating how to solve common database-related problems.
  • Hands-On Exercises and Workshops
  • Practical Exercises: Tasks and activities designed to apply theoretical knowledge in practical settings.
  • Workshops: Interactive sessions where students work on real or simulated database projects.
  • Templates and Tools
  • Templates: Pre-designed templates for database design, documentation, and implementation tasks.
  • Tools: Access to or guidance on using database development software and tools (e.g., MySQL, PostgreSQL, Oracle, SQL Server).
  • Quizzes and Assessments
  • Quizzes: Short tests to check understanding of key concepts and reinforce learning.
  • Assessments: Formal assessments to evaluate knowledge and skills gained during the course.
  • Reading Lists and References
  • Reading Lists: Curated lists of recommended books, articles, and papers for further reading.
  • References: Access to academic papers, industry reports, and other reference materials.
  • Discussion Forums and Support
  • Discussion Forums: Online platforms for students to discuss course content, share insights, and collaborate on projects.
  • Instructor Support: Access to instructors for questions, feedback, and additional guidance.
  • Certification Preparation Materials
  • Exam Guides: Study guides and practice exams to prepare for certification tests.
  • Review Sessions: Sessions focused on reviewing key concepts and practicing exam questions.
  • Additional Resources
  • Software Licenses: Temporary licenses for relevant database development software.
  • Project Work: Opportunities to work on projects, either individually or in teams, to apply learning in real-world contexts.
  • Networking Opportunities: Access to networking events, webinars, and industry conferences.

Audience

  • Aspiring Database Professionals
  • New Graduates: Individuals who have recently graduated from college or university and are seeking to start a career in database development or administration.
  • Career Changers: Professionals from other fields who wish to transition into a database-related role, leveraging their prior experience in new ways.
  • Current IT Professionals
  • Software Developers: Developers who want to enhance their database skills to build more robust and efficient applications.
  • Systems Administrators: IT professionals responsible for maintaining and administering systems who wish to specialize in database management.
  • Data Analysts: Analysts who need to deepen their understanding of databases to manage and query data more effectively.
  • Database Administrators (DBAs)
  • Junior DBAs: Those in entry-level database administration roles looking to advance their skills and knowledge.
  • Experienced DBAs: Mid-level professionals seeking to update their skills, learn new technologies, or achieve certification.
  • Project Managers and Team Leads
  • Project Managers: Individuals managing IT projects who need to understand database concepts to oversee database-related tasks effectively.
  • Team Leads: Leaders of development teams who require a solid grasp of database development to guide their teams.
  • Business Professionals
  • Business Analysts: Professionals who need to understand database structures and querying to analyze business data effectively.
  • Data Managers: Managers responsible for overseeing data integrity and accessibility within an organization.
  • Entrepreneurs and Small Business Owners
  • Startup Founders: Entrepreneurs who need to build or manage databases for their business applications.
  • Small Business Owners: Individuals who manage small businesses and want to understand how databases can help streamline operations and improve data management.
  • Students and Academics
  • Students in Computer Science and IT Programs: Individuals currently studying computer science, information technology, or related fields who want to gain practical skills in database development.
  • Researchers and Academics: Those conducting research in data management, database systems, and related areas.
  • Industry-Specific Professionals
  • Finance and Banking: Professionals in finance roles who need to manage and analyze large datasets securely and efficiently.
  • Healthcare: Individuals involved in healthcare IT who need to manage patient data and healthcare information systems.
  • Manufacturing: Professionals aiming to streamline operations and manage supply chain data effectively.
  • Retail: Retail managers and analysts focused on enhancing customer data management and improving inventory systems.
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