• Data Engineering Course

Data Engineering Course

  • Pengajar-Pengajar
  • Manuel Manatap |

This is an online, self-paced, six-module hands-on Data Engineering course covering data modeling & warehousing, SQL, ETL pipelines (Python, Spark, Airflow), cloud data warehousing on GCP (BigQuery), real-time streaming (Kafka, Flink, Debezium), and business intelligence (Superset). Materials are provided as PDF modules and instructional videos.
 

Course Information

Learning Objectives

After completing this course, students will be able to:

- Understand data engineering concepts, data modeling, and data warehouse architecture.

- Write SQL queries using DBeaver on a PostgreSQL database.

- Build ETL pipelines with Python, Spark, and Apache Airflow.

- Use cloud data warehousing on Google Cloud Platform (GCP) with BigQuery.

- Process real-time data streams using Apache Kafka & Flink.

- Build BI dashboards using Apache Superset.

Course Topics

This course is delivered over 6 days:

- Module 1 - Introduction: DE Overview, Data Model & DWH Concept

- Module 2 - SQL Programming: DWH Architecture, SQL (DBeaver + PostgreSQL)

- Module 3 - Apache Airflow & ETL: Python & Spark

- Module 4 - On-Prem & Cloud: Google Cloud Platform (GCP) - BigQuery

- Module 5 - Streaming: Apache Kafka & Flink

- Module 6 - Business Intelligence: Apache Superset

Sale price
IDR 29000
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Coaches

Manuel Manatap

Manuel Manatap