Data Engineering Deep Dive

Explore the heart of data infrastructure and engineering in our immersive 3-week program. Discover the essential concepts of data storage, processing, and ETL (Extract, Transform, Load) operations. Dive into the world of big data technologies, and embark on a hands-on capstone project to apply your skills.

Join us to become a proficient data engineer and make your mark in the data-driven world.

Duration: 3 Weeks

Week 1: Data Fundamentals and Data Storage

Day 1: Introduction to Data Engineering

  • Understanding the role of data engineering in the data ecosystem.

  • Overview of the training program and learning objectives.

Day 2: Data Types and Data Sources

  • Exploring structured and unstructured data.

  • Identifying data sources within your organization.

Day 3: Data Storage and Databases

  • Overview of relational and NoSQL databases.

  • Best practices in data storage and schema design.

Day 4: Data Warehousing

  • Understanding data warehousing concepts.

  • Implementing data warehousing solutions for analytics.

Day 5: Cloud Data Storage

  • Exploring cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage).

  • Hands-on exercises in cloud data storage.

Week 2: Data Processing and ETL

Day 6: Data Ingestion

  • Strategies for data ingestion from various sources.

  • Real-time data streaming vs. batch processing.

Day 7: Extract, Transform, Load (ETL) Processes

  • Building ETL pipelines to cleanse and transform data.

  • Introduction to ETL tools and frameworks.

Day 8: Data Orchestration

  • Automating data workflows with Apache Airflow.

  • Creating and scheduling data pipelines.

Day 9: Data Quality and Governance

  • Ensuring data quality and integrity.

  • Implementing data governance practices.

Day 10: Advanced ETL and Data Pipelines

  • Designing complex ETL processes.

  • Scalability and optimization of data pipelines.

Contact us to book this course

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