What you will learn:

• Understand the foundations of data, including the differences between structured and unstructured data, and how data has evolved and grown over time.
• Learn what big data is, where it comes from, its unique characteristics, and why it’s so valuable in modern industries.
• Explore data storage options, including data warehouses, data lakes, and data lakehouses, and understand when to use each for managing diverse data needs.
• Compare ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, learning their roles in preparing data for analysis.
• Discover how real-time analytics works and examine big data applications across various sectors to see how data enables fast, data-driven decisions.
• Understand the essentials of data governance, including its key aspects, why it’s important, and steps for implementing an effective governance framework.
• Learn about data science, its lifecycle, and explore different data-related roles within a data team.
• Gain insights into big data engineering, its critical role in building scalable systems for data storage, management, and processing, and key skills for a career as a big data engineer.
• This comprehensive set of concepts will provide you with a strong understanding of data, big data, and data science, setting the foundation for future roles in the data-driven industry.