architecting modern data platforms

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Data Science in Chemistry - (De Gruyter Textbook) by Thorsten Gressling (Paperback)

Data Engineering for Machine Learning Pipelines - by Pavan Kumar Narayanan (Paperback)

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Scientific Data: A 50 Steps Guide Using Python - (De Gruyter Textbook) by Matthias Josef Hofmann (Paperback)

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Software Design for Six SIGMA - by Basem S El-Haik & Adnan Shaout (Hardcover)

Recent Trends in Data Type Specification - (Lecture Notes in Computer Science) by Donald Sannella (Paperback)

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Identification of Physical Systems - by Rajamani Doraiswami & Maryhelen Stevenson & Chris Diduch (Hardcover)

Deep Dive Into the Power Platform in the Age of Generative AI - by Biswa Pujarini Mohapatra & Aroraa & Yash Agarwal (Paperback)

The Handbook of Data Science and AI - 3rd Edition (Paperback)

Integrating Functional and Temporal Domains in Logic Design - (The Springer International Engineering and Computer Science) (Hardcover)

Big Data Recommender Systems - (Computing and Networks) by Osman Khalid & Samee U Khan & Albert Y Zomaya (Hardcover)

Information Theory for Data Science - by Changho Suh (Hardcover)

Governance Frameworks for Major Public Projects - by Vedran Zerjav (Hardcover)

Data Governance: The Definitive Guide - by Evren Eryurek & Uri Gilad & Valliappa Lakshmanan & Anita Kibunguchy-Grant & Jessi Ashdown (Paperback)

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Designing Data-Intensive Applications - 2nd Edition by Martin Kleppmann & Chris Riccomini (Paperback)