AI時代 スマートなSQL学習法 [入門]

From Java basics to advanced concepts, and Oracle SQL too, Backend web development series with hands-on practice, taught by star instructor Young Cody Kim who explains clearly for non-majors and coding beginners

Learn NoSQL technology, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.

Datalian's SQL basics lecture with over 10,000 cumulative students and rich online/offline lecture experience. Learn SQL basics theory and solve 10 HackerRank problems together.

MongoDB is easy to learn because it is written in Javascript, which is familiar to web developers who have not learned SQL. The course will explain the concepts using the most basic parts of MongoDB to practical parts.

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

You will be able to extract the data you want directly without the help of a developer. We will provide everything you need for analysis, from simple queries to joins. Start learning SQL with a direct lecture from the author of the book <Planner's SQL>.

With the advent of the AI era, building data pipelines has become a core competency that determines a company's competitiveness. Learn how to build efficient data pipelines using Airflow, the most widely used tool, directly from a Silicon Valley expert (formerly Head of the Data Team at Udemy, currently a professor in the Data Masters program at San Jose State University) with practical experience and extensive lecturing experience.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

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

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.

SQLD Yellow Book 176 Problem Solving Lecture for You Who Studied but Cannot Solve Problems. After Completing the Course, You Will Become an Expert Beyond Passing. SQLD All-in-One Pass!

How is processing big data different from processing data with Pandas? Let's learn about Spark, an essential framework for big data processing.

This course teaches MS-SQL through baseball/company databases.

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

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.

For those who feel overwhelmed preparing for the SQLD exam, this is a comprehensive course that analyzes the entire Norang-i scope, organizes necessary theory, conducts practice-focused classes, and solves all problems systematically. With short, concise clips and topic-based segmented structure, you can build skills that work directly in the exam room.

Learn common components of global-scale services through popular papers, books, and articles.

Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!

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

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.