Mastering Oracle Database 11g - Introduction to Database Practice Learning with SQL

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

This course aims to overcome the technical limitations practitioners face in vast big data environments and to build systematic data management capabilities through the Hadoop ecosystem. Through this course, students will gain the following core values: Practical Problem Solving: Understand the limitations of existing systems as data scales and learn efficient distributed processing methods using Hadoop. Ensuring Data Stability: Learn practical optimization techniques to safely protect original data through Hive's external table design, even if a table is accidentally deleted. Maximizing Analysis Efficiency: Acquire expert-level skills to freely control and analyze large-scale data using HiveQL without complex programming. Expert Guidance: A knowledge sharer with years of IT education experience and know-how will directly pass on practical skills that can be applied immediately in the field. Join this 30-lecture journey that will transform you into a distinguished data engineer in the massive wave of big data.

Extract and utilize data through Oracle 18c and become a database expert!

Based on Oracle 21C, from concepts to practice, the easiest way to learn SQL for beginners! Taught directly by the author of Easyspub's "Do it! Introduction to SQL with Oracle"! Designed for non-majors and beginners, explained step by step.

This course is designed to help students learn and practice PHP programming concepts. It is designed for students who want to learn PHP programming concepts.

Inflearn cumulative students of over 30,000, Datarian's advanced SQL course with extensive online/offline teaching experience. Learn advanced SQL theory and solve 25 practice problems together.

Easy explanations and examples are provided so that you can apply them directly to your work.

As you work through more difficult Leetcode SQL problems, you'll learn how to apply multiple grammar rules to a single problem.

From Java basics to advanced levels and Oracle SQL, this is a backend web development series where you learn through hands-on practice with star instructor Young-Cody Kim, who makes coding easy to understand even for non-majors and beginners.

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

We enable you to fundamentally understand and resolve issues where Hangeul appears broken on web pages or in databases, or files contain unknown characters.

"SQLD is an exam where past questions are not officially released." Preparing for the upcoming 60th exam (2026.3.7)— Practical study material featuring 50 vividly reconstructed questions by subject and chapter, based on the latest 59th exam!

This course is a master class that systematically covers the fundamental principles and practical applications of MongoDB. Starting with core MongoDB concepts, you will systematically learn essential topics for practical work, such as database design, CRUD operations, indexing, aggregation pipelines, performance optimization, transactions, and security. It explains topics step-by-step so even beginners can understand, and you can deeply learn the working principles of MongoDB through exercises and examples. This is the best introductory and practical course for developers who want to build strong MongoDB skills for practical work.

This course aims to obtain the state-certified SQLD (SQL Developer) certification. An SQLD refers to a developer who can write accurate SQL to manipulate and extract data while developing application software based on knowledge of databases and data modeling.

Perfect preparation for the SQLD certification, from understanding SQL to practical function application, finishing with the latest exam questions!

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

This is a course for learning MS-SQL through baseball and corporate databases.

This course provides a step-by-step learning path, ranging from the fundamental usage of MySQL to advanced techniques required in real-world production environments. It covers a wide range of topics, including data modeling techniques based on various case studies and practical data, evaluating the effectiveness of Foreign Key designs, analyzing Google Calendar schema DDL, and modern DDL design principles. Through this course, you will gain an in-depth understanding of how to utilize MySQL as a core system component rather than just a simple database.

"SQLD is an exam where past questions are not officially released." In preparation for the upcoming 61st exam (May 31, 2026)— Practical materials featuring 50 questions per subject and chapter, vividly reconstructed by directly recalling the latest 60th exam!

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀

This course focuses more on data modeling through entity design than on JPA technical explanations. Based on the principle that solid DB design is the foundation of application development, we analyze various design patterns—such as one-to-many, many-to-many, inheritance, and collections—alongside business scenarios. You will learn by directly observing the process of code being transformed into actual tables on screen. To ensure immediate practical application, we provide business use cases, source code, and test codes for each design pattern.

This course goes beyond simple CRUD-level database usage to help you acquire PostgreSQL skills necessary for the AI era from a practical perspective. Based on AI development experience in Silicon Valley, you will learn step-by-step how to design and utilize JSON, indexes, transactions, and even pgvector in real-world services, while mastering methods to solve complex data structures and performance issues.