{"product_id":"data-engineering-for-multimodal-ai-vasundra-srinivasan-9781098190781","title":"Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications","description":"\u003cp\u003eA shift is underway in how organizations approach data infrastructure for AI-driven transformation. As multimodal AI systems and applications become increasingly sophisticated and data hungry, data systems must evolve to meet these complex demands.\u003c\/p\u003e \u003cp\u003e\u003cem\u003eData Engineering for Multimodal AI\u003c\/em\u003e is one of the first practical guides for data engineers, machine learning engineers, and MLOps specialists looking to rapidly master the skills needed to build robust, scalable data infrastructures for multimodal AI systems and applications. You'll follow the entire lifecycle of AI-driven data engineering, from conceptualizing data architectures to implementing data pipelines optimized for multimodal learning in both cloud native and on-premises environments. And each chapter includes step-by-step guides and best practices for implementing key concepts.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eDesign and implement cloud native data architectures optimized for multimodal AI workloads\u003c\/li\u003e \u003cli\u003eBuild efficient and scalable ETL processes for preparing diverse AI training data\u003c\/li\u003e \u003cli\u003eImplement real-time data processing pipelines for multimodal AI inference\u003c\/li\u003e \u003cli\u003eDevelop and manage feature stores that support multiple data modalities\u003c\/li\u003e \u003cli\u003eApply data governance and security practices specific to multimodal AI projects\u003c\/li\u003e \u003cli\u003eOptimize data storage and retrieval for various types of multimodal ML models\u003c\/li\u003e \u003cli\u003eIntegrate data versioning and lineage tracking in multimodal AI workflows\u003c\/li\u003e \u003cli\u003eImplement data-quality frameworks to ensure reliable outcomes across data types\u003c\/li\u003e \u003cli\u003eDesign data pipelines that support responsible AI practices in a multimodal context\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Vasundra Srinivasan\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1098190785\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781098190781\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/04\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 450\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback","brand":"Vasundra Srinivasan","offers":[{"title":"Paperback","offer_id":47761278075135,"sku":"9781098190781","price":79.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_2d1e1d41-5a21-41f6-851b-7539ff3d5cc3.jpg?v=1765514821","url":"https:\/\/www.whiterainbookhouse.com\/products\/data-engineering-for-multimodal-ai-vasundra-srinivasan-9781098190781","provider":"WR Book House","version":"1.0","type":"link"}