Description
The rapid advancement of Artificial Intelligence (AI) has transformed the way organizations collect, process, and leverage data for decision-making. In today’s digital economy, data is no longer just a byproduct of business operations but a strategic asset that fuels innovation and growth. With the ever-increasing scale, variety, and velocity of data, the discipline of Data Engineering has emerged as a cornerstone for building intelligent, scalable, and efficient solutions.
This book, AI in Data Engineering: Building Scalable Solutions From Storage to Insights, has been conceptualized to bridge the gap between foundational data engineering practices and the integration of AI-driven approaches. It brings together the principles, methodologies, and real-world practices that enable enterprises to transform raw data into actionable insights.
The first edition has been designed to cater to a diverse audience, including students, academicians, industry professionals, and researchers. Readers will gain both theoretical understanding and practical perspectives on topics such as data pipelines, distributed storage, data governance, machine learning integration, and emerging technologies shaping the data ecosystem.
Mrs.Hemalatha Nagharajan, Distinguished Data Engineering Lead at LSEG (London Stock Exchange Group), Bangalore, brings over 18 years of expertise in Enterprise Data Warehousing, cloud technologies, and data architecture innovation. As a certified Azure Cloud Architect, she has led transformative initiatives using Azure, AWS, Snowflake, SAP HANA, Informatica IICS, and advanced data modeling. Her contributions to global enterprises have earned her accolades including Honeywell’s GOLD Award and Satyam’s STAR Performer Award.
Beyond her professional achievements, Mrs.Hemalatha is an accomplished author and thought leader. Her works include HO’OPONOPONO: Unlocking the Path to Inner Peace and Universal Abundance and chapters on leadership, gender equality, and global business success. With a patent on yoga’s impact on HIV/AIDS, she champions holistic wellness, inclusive growth, and empathetic leadership.
Dr. J. P. Ananth, Professor, Computer Science & Engineering and Director- IQAC at Dayananda Sagar University, Bengaluru is a distinguished academician and institutional leader with over two decades of service in higher education. He was also serving as Dean and Controller of Examinations at Sri Krishna College of Engineering and Technology, Coimbatore, he played a pivotal role in securing NAAC A++ accreditation with a CGPA of 3.71. As a passionate reformist, he has driven initiatives in examination automation, competency-based learning, and faculty development.
His expertise spans Artificial Intelligence, Deep Learning, and Computer Vision, with over 50 impactful publications in reputed journals. He has authored and edited books with Wiley, Springer, and IGI Global, and serves as Academic Editor for PLOS One while reviewing for IEEE and Frontiers in AI. A Senior Member of IEEE and ACM, Fellow of ISRD, and organizer of 15+ conferences, he is celebrated for his visionary leadership, research excellence, and dedication to shaping future-ready education.
ISBN: 9788662514677
Publisher: Mrs. Hemalatha Nagharajan
Number of Pages: 271
Dimensions: 6"x9"
Interior Pages: B&W
Binding:
Paperback (Perfect Binding)
Availability:
In Stock (Print on Demand)