data engineering

Build robust data pipelines and scalable infrastructures
Duration: 20 Weeks | Level: Beginners - Professional

Price: ₦400,000

data Engineering

Data Engineering is the process of designing, constructing, and managing the systems that power data-driven organizations. It involves building efficient data pipelines, integrating diverse data sources, and ensuring that data flows seamlessly for analysis and decision-making.

From creating data warehouses to orchestrating real-time data streams, data engineering is the backbone of modern data ecosystems. It is vital for industries such as finance, healthcare, retail, and technology, ensuring that reliable, high-quality data is always available to fuel analytics and machine learning initiatives.

With the right expertise, you can build scalable data solutions that drive operational excellence and innovation. Master data engineering skills to become an indispensable asset in today’s data-centric world.

Course tools:

What you’ll learn

1️⃣ Introduction to Data Engineering
2️⃣ Data Warehousing and ETL Processes
3️⃣ SQL for Data Engineering
4️⃣ Python for Data Engineering
5️⃣ Apache Spark for Big Data Processing

6️⃣ Apache Kafka for Real-Time Data Streaming
7️⃣ Data Modeling & Schema Design
8️⃣ Cloud Data Platforms (AWS, Azure, GCP)
9️⃣ Data Pipeline Orchestration with Apache Airflow
🔟 Real-World Projects & Case Studies

1️⃣1️⃣ Big Data Storage Solutions
1️⃣2️⃣ Data Security & Governance
1️⃣3️⃣ Scalable Data Infrastructure Design
1️⃣4️⃣ Batch and Stream Processing
1️⃣5️⃣ Data Integration & Transformation

What you will gain

Course Features

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