The Future of Data Platforms: Cloud Databases and Big Data Technologies

In today's data-driven world, organizations are transforming how they manage and analyze information. This book provides a clear and comprehensive guide to the evolution of data platforms-from traditional databases and data warehouses to modern cloud-based systems.

It explores key concepts such as cloud databases, distributed architectures, and the differences between relational and NoSQL systems, highlighting their role in scalability, flexibility, and performance. Readers are introduced to powerful big data technologies like Hadoop and Spark, along with real-time data streaming and advanced storage solutions.

The book also covers essential data engineering practices, including ETL/ELT processes, data pipelines, and workflow automation for efficient data handling. Finally, it examines future trends such as serverless computing, multi-cloud architectures, and AI integration, preparing readers for next-generation data ecosystems.

Ideal for students and professionals, this book offers practical insights, structured learning, and real-world relevance to navigate the rapidly evolving data landscape.