Get a comprehensive overview of Spring, the enterprise application framework and inversion-of-control container for Java.

Learn how to implement messaging within your enterprise Spring applications using JMS.

Learn how to use Spring Batch to create batch processing jobs in Java.

Learn cloud native application development with Spring Cloud, a set of tools to help developers quickly build distributed systems that are perfect for enterprise-scale deployment.

Easily implement JPA-based repositories using Spring Data JPA. Learn about the Spring Data Commons JPA for object-relational mapping, querying with Spring Data, and more.

In this course, instructor Kathy Flint shows how Spring Integration fits into the overall Spring framework. Kathy covers realistic use cases that warrant the use of Spring Integration, such as APIs, reactive websites, and database-integrated systems. Kathy demonstrates the full capabilities of Spring Integration by building a demonstration application; she starts with an empty Spring Boot application and adds Spring Integration components in increasing complexity, ending with a substantive demonstration application. She covers key features like message channels, message transformation, routing, and aggregation. Kathy finishes the course by identifying practical challenges and choices that an architect or engineer may encounter during the design and implementation of a Spring Integration system.

Get started with Spring MVC, an essential web framework for Java developers who work on enterprise-level projects.

Get started with Spring MVC, an essential web framework for Java developers who work on enterprise-level projects.

Learn how to secure your apps and services with Spring Security and extensions such as LDAP, Active Directory, OAuth, and WebFlux.

Learn how to apply test-driven development practices in Spring Boot apps using JUnit, an open-source testing tool.

Explore how to run tests for academic research with SPSS, the leading statistical software.

Learn fundamental SQL data analysis techniques especially useful for developers. Explore querying relational database values, filtering results, leveraging functions, and more.

Test your SQL skills. Follow along with a series of five-minute coding challenges that provide hands-on practice.

Want to test—and develop—your SQL data-engineering skills? Do you fancy yourself pretty skilled at SQL and want to see just how sharp you are? Then check out this installment of the Code Challenges series, as instructor Harshit Tyagi presents a number of challenges requiring you to write SQL queries to solve problems and answer questions. The challenges start at a relatively low level of difficulty—column selection, filtering rows from data, sorting and grouping query results—and get progressively tougher, testing you on topics like handling missing and invalid data, calculating moving window average, and data transformations. The challenges are all a few minutes long, and use a single database, so you can jump around from challenge to challenge or watch the entire course. So, if you want to see if you’re equal to the tasks, try out these SQL challenges.

Learn how to use SQL to manage your database. Explore beginner-level tutorials on creating tables, defining relationships, and manipulating strings with SQL and SQLiteStudio.

Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning.

This course provides a straightforward, concise resource for non-developers to learn enough about relational databases and SQL syntax to write simple queries.

Learn how to use SQL for descriptive statistics: to summarize data sets, derive insights, and make predictions.

Ground yourself in the basic approaches to testing SQL queries and gain the ability to do deep testing and analysis of back-end problems.

Get up and running with database tables using SQL. This course helps beginners not only learn key concepts, but also practice working on real-world business scenarios.