Foundations And Applications of AI IN Data Engineering And Healthcare Analytics

In our book, Foundations and Applications of AI in Data Engineering and Healthcare Analytics, we explore the transformative role of artificial intelligence in data engineering, with a particular focus on its applications in healthcare. This comprehensive guide covers the core principles of AI, providing readers with a solid foundation while highlighting practical applications that address real-world challenges in healthcare data management, predictive analytics, and operational optimization. By bridging the gap between theory and practice, we aim to equip professionals and students with the knowledge and tools needed to harness AI's potential to drive innovation and improve decision-making in the healthcare sector.

Audiobook and Amazon Copy Below :

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SQL in A Week

In the era of AI, tools can scan data and generate SQL queries within seconds. However, accountability still lies with humans. If a query is incorrect, biased, or misinterprets data, the impact can be significant—especially in critical fields like healthcare and finance. That is why learning SQL remains essential. This 7-day learning approach focuses not just on writing queries, but on understanding data, logic, and business context. AI should be used as a support tool for validation and efficiency, not a replacement for knowledge. When you understand SQL, you don’t just run queries—you take ownership of the insights they produce.

https://link.springer.com/book/9798868821011

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