Data Engineer in Java

Обновлено 03.2026

Develop essential Java skills for data engineering, from file processing and database integration to performance optimization.

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Описание трека

Data Engineer in Java

Java powers data systems at companies worldwide, making it essential for data engineers working with enterprise applications. This track prepares you to build and maintain these systems from the ground up. You'll start with Java fundamentals and progress through object-oriented programming, file handling, and data import techniques using industry tools like Tablesaw. Learn to integrate with PostgreSQL databases using JDBC, implement secure parameterized queries, and handle batch operations. Complete the track by mastering data cleaning workflows and code optimization techniques that keep your applications fast and reliable.

Предварительные требования

Для участия в этом курсе никаких предварительных требований нет.

Course
1
Introduction to Java
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Course
2
Intermediate Java
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
Course
3
Introduction to Object-Oriented Programming in Java
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Course
4
Data Types and Exceptions in Java
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Course
5
Input/Output and Streams in Java
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Course
6
Importing Data in Java
Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.
Course
7
Querying a PostgreSQL Database in Java
Connect Java to PostgreSQL with JDBC. Write secure queries, manage transactions, and handle large datasets efficiently.
Course
8
Cleaning Data in Java
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Course
9
Optimizing Code in Java
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.