Data Engineering Bootcamp | Ingress Academy

Database Management

Data Engineering Bootcamp

This intensive 5-month bootcamp transforms beginners into job-ready Data Engineers through hands-on experience with production-grade open-source tools in an on-premises environment. Students will build real data pipelines, work with big data systems, implement CDC patterns, and complete a comprehensive capstone project. This bootcamp is designed for individuals with basic programming knowledge who want to transition into Data Engineering. Whether you're a software developer, data analyst, or IT professional, this program provides the practical skills needed for a successful career in data engineering.

Начальный Очно 20 недель 120 часов

О курсе

This intensive 5-month bootcamp transforms beginners into job-ready Data Engineers through hands-on experience with production-grade open-source tools in an on-premises environment. Students will build real data pipelines, work with big data systems, implement CDC patterns, and complete a comprehensive capstone project. This bootcamp is designed for individuals with basic programming knowledge who want to transition into Data Engineering. Whether you're a software developer, data analyst, or IT professional, this program provides the practical skills needed for a successful career in data engineering.

Чему вы научитесь

  • Foundations & Core Infrastructure
  • Data Storage & Modern Data Lakehouse
  • ETL/ELT & Orchestration
  • Big Data, Streaming & CDC
  • Data Quality, BI & Capstone

Требования

  • Basic computer literacy
  • No prior experience required — we start from the fundamentals
  • Willingness to practice regularly

Программа обучения

  1. 1 Linux Fundamentals
  2. 2 Docker & Containerization
  3. 3 Python for Data Engineering
  4. 4 SQL & Version Control
  1. 1 Data Modeling Fundamentals
  2. 2 ClickHouse Analytics Database
  3. 3 Object Storage & HDFS
  4. 4 Open Table Formats
  1. 1 Apache Airflow Fundamentals
  2. 2 Advanced Airflow
  3. 3 dbt (Data Build Tool)
  4. 4 ETL Pipeline Project
  1. 1 Apache Spark Fundamentals
  2. 2 Advanced Spark & HDFS Integration
  3. 3 Apache Kafka & CDC with Debezium
  4. 4 Stream Processing
  1. 1 Data Quality & Testing
  2. 2 BI Tools & Data Governance
  3. 3 Capstone Project (Part 1)
  4. 4 Capstone Project (Part 2)

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