What you will learn?

Understand data storage and management systems: Learn about the different types of data storage and management systems, including relational databases, NoSQL databases, and data warehouses.

Design and build data pipelines: Learn how to design and build data pipelines to extract data from various sources, transform it into a usable format, and load it into a target system.

Master data modeling and schema design: Understand data modeling and schema design concepts and learn how to create efficient and effective data models and schemas.

Learn about data integration and ETL: Understand the process of integrating data from various sources and how to perform ETL (Extract, Transform, Load) operations.

Develop proficiency in programming languages: Learn programming languages such as Python, SQL, and Scala that are commonly used in data engineering.

Master big data technologies: Understand big data technologies like Hadoop, Spark, and Kafka, and learn how to use them for processing large volumes of data.

Develop skills in data quality and governance: Learn how to ensure data quality and establish data governance policies and procedures to ensure data accuracy, completeness, and consistency.