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Data Engineering for AI. Enhance data persistence strategies for optimal AI and analytical workload performance (en Inglés)
Sundeep Goud Katta (Autor)
·
BPB Publications
· Tapa Blanda
Data Engineering for AI. Enhance data persistence strategies for optimal AI and analytical workload performance (en Inglés) - Sundeep Goud Katta
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Reseña del libro "Data Engineering for AI. Enhance data persistence strategies for optimal AI and analytical workload performance (en Inglés)"
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\nDesign real-time data ingestion and processing systems. Implement optimized data storage solutions for AI workloads. Ensure data quality, compliance in dynamically changing environments.
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\nThis book provides a thorough exploration of the complete data lifecycle, starting with data engineering''s development and its vital link to AI. It provides an overview of scalable data practices, from legacy systems to cutting-edge techniques. The reader will explore real-time data collection, secure ingestion, optimized storage, and dynamic processing techniques. The book features detailed discussions on ETL and ELT frameworks, performance tuning, and quality assurance that are complemented by real-world case studies. All these empower the data engineers to design systems that are seamless and integrate well with AI pipelines, driving innovation across diverse industries.
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