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Data Engineering

Data Engineering

Apply for the training
checkmarkMaster Python essentials
checkmarkExplore Apache Kafka and Spark
checkmarkBuild practical data projects

Trainers

TBA

duration

DURATION

16 hours / 2 days

level

LEVEL

Beginner

languages

LANGUAGES

Croatian, English

locations

LOCATION

Solvership educational center, client premises, or online (virtual)

Overview

This training introduces participants to Python programming and popular open-source data engineering tools — Apache Kafka and Apache Spark. Through a combination of lectures and hands-on projects, you’ll learn the foundations of programming, object-oriented principles, and database interactions with Python.

You’ll also get practical experience with Kafka topics, producers, and consumers, and dive into Spark’s DataFrame structure and streaming capabilities. Our course aims to equip you for working with Python, Kafka, and Spark effectively, applying industry best practices to solve real-world data engineering challenges.

Audience

This course is designed for beginners and anyone looking to expand their knowledge of data engineering technologies and programming.

Syllabus

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01

Python

Learn the basics of Python programming, object-oriented principles, and database interactions. Gain hands-on experience by creating two practical projects.

● Lectures and practical exercises

02

Apache Kafka

Understand the fundamentals of Apache Kafka, its applications, and how to work with Kafka Topics, Producers, and Consumers.

● Lectures and practical exercises

03

Apache Spark

Explore the DataFrame data structure, its wide range of possibilities, and Spark Streaming basics. Learn to apply Spark concepts in real-world scenarios.

● Lectures and practical exercises

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Training

Training

Data Engineering

| Beginner | 16 hours / 2 days | Solvership educational center, client premises, or online (virtual)

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