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Books > Non-Fiction > Computing & I.T. > Databases > Database Design & Theory
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  • Azure Data Factory Cookbook : Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service - Dmitry Anoshin
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    Dmitry Anoshin, Dmitry Foshin and Roman Storchak
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    $71.75
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  • Essential Statistics for Non-STEM Data Analysts : Get to grips with the statistics and math knowledge needed to enter the world of data science with Python - Rongpeng Li
    Essential Statistics for Non-STEM Data Analysts
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    Michael Walker
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  • Data Exploration and Preparation with BigQuery : A practical guide to cleaning, transforming, and analyzing data for business insights - Mike Kahn
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  • The Machine Learning Solutions Architect Handbook - Second Edition : Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - David Ping
    The Machine Learning Solutions Architect Handbook - Second Edition
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  • Time Series Analysis with Spark : A practical guide to processing, modeling, and forecasting time series with Apache Spark - Yoni Ramaswami
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  • Scalable Data Streaming with Amazon Kinesis : Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis - Tarik Makota
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    Tarik Makota, Brian Maguire and Danny Gagne
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  • AWS Certified Machine Learning Specialty MLS-C01 Certification Guide : The definitive guide to passing the MLS-C01 exam on the very first attempt - Somanath Nanda
    AWS Certified Machine Learning Specialty MLS-C01 Certification Guide
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    Somanath Nanda and Weslley Moura
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  • Engineering MLOps : Rapidly build, test, and manage production-ready machine learning life cycles at scale - Emmanuel Raj
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  • Organizational Excellence : Data, Technology and Leadership - Shyama Prasad Mukherjee
    Organizational Excellence
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    Shyama Prasad Mukherjee
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    Organizational Excellence
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    Thomas C. Redman
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    Matt Casters, Roland Bouman and Jos van Dongen
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    Internet of Things and Secure Smart Environments
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  • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python - Tarek Amr
    Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
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