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eBooks > Non-Fiction > Computing & I.T. > Databases
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  • Engineering MLOps : Rapidly build, test, and manage production-ready machine learning life cycles at scale - Emmanuel Raj
    Engineering MLOps
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  • Snowflake Cookbook : Techniques for building modern cloud data warehousing solutions - Hamid Mahmood Qureshi
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    Hamid Mahmood Qureshi and Hammad Sharif
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  • Economic Indicators for East Asia : Input-Output Tables - Asian Development Bank
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  • Economic Indicators for South and Central Asia : Input-Output Tables - Asian Development Bank
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  • Mastering spaCy : An end-to-end practical guide to implementing NLP applications using the Python ecosystem - Duygu Altinok
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  • Mastering Tableau 2021 : Implement advanced business intelligence techniques and analytics with Tableau, 3rd Edition - Marleen Meier
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  • Excel User Guide - Colombo Publishing Company
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  • Business Intelligence : an Overview - Vinaitheerthan Renganathan
    Business Intelligence
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    Vinaitheerthan Renganathan
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  • Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms - Claudio Stamile
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    Claudio Stamile, Aldo Marzullo and Enrico Deusebio
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  • Oracle Autonomous Database in Enterprise Architecture : Utilize Oracle Cloud Infrastructure Autonomous Databases for better consolidation, automation, and security - Bal Mukund Sharma
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  • Data Processing with Optimus : Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark - Dr. Argenis Leon
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    Dr. Argenis Leon and Luis Aguirre
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  • The Fourth Great Transformation : Creating a new human species with AI and genetic engineering - Don Simborg
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    Don Simborg
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  • Machine Learning with the Elastic Stack : Gain valuable insights from your data with Elastic Stack's machine learning features, 2nd Edition - Rich Collier
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    Rich Collier, Camilla Montonen and Bahaaldine Azarmi
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  • Cloud Computing Simplified : Explore Application of Cloud, Cloud Deployment Models, Service Models and Mobile Cloud Computing (English Edition) - Surbhi Rastogi
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  • Professional Azure SQL Managed Database Administration : Efficiently manage and modernize data in the cloud using Azure SQL, 3rd Edition - Ahmad Osama
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    Ahmad Osama and Shashikant Shakya
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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, Danny Gagne and Rajeev Chakrabarti
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  • Machine Learning with BigQuery ML : Create, execute, and improve machine learning models in BigQuery using standard SQL queries - Alessandro Marrandino
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  • Hands-on Kubernetes on Azure : Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized applications, 3rd Edition - Nills Franssens
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    Nills Franssens, Shivakumar Gopalakrishnan and Gunther Lenz
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  • Escape the Change Dilemma : Transformation to a Smart Data-Driven World - Andreas Graesser
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    Andreas Graesser
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  • Mastering Veeam Backup & Replication : Secure backup with Veeam 11 for defending your data and accelerating your data protection strategy, 2nd Edition - Chris Childerhose
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  • Hands-on Application Development using Spring Boot : Building Modern Cloud Native Applications by Learning RESTFul API, Microservices, CRUD Operations, Unit Testing, and Deployment - Shagun Bakliwal
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  • Excel 101 : A Beginner's & Intermediate's Guide for Mastering the Quintessence of Microsoft Excel (2010-2019 & 365) in no time! - Johannes Wild
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    Johannes Wild
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  • Extreme DAX : Take your Power BI and Microsoft data analytics skills to the next level - Michiel Rozema
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    Michiel Rozema and Henk Vlootman
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  • Data Lakehouse in Action : Architecting a modern and scalable data analytics platform - Pradeep Menon
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    Pradeep Menon
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  • Data Engineering with Google Cloud Platform : A practical guide to operationalizing scalable data analytics systems on GCP - Adi Wijaya
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    Adi Wijaya
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  • Scalable Data Analytics with Azure Data Explorer : Modern ways to query, analyze, and perform real-time data analysis on large volumes of data - Jason Myerscough
    Scalable Data Analytics with Azure Data Explorer
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    Jason Myerscough and Arunee Singhchawla
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  • JAVA for Beginner's Crash Course : Java for Beginners Guide to Program Java, jQuery, & Java Programming - Quick Start Guides
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    Quick Start Guides
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  • Microsoft Publisher for Beginners and Intermediates - Fredrick Ezeh
    Microsoft Publisher for Beginners and Intermediates
    Fredrick Ezeh
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  • Microsoft Access for Beginners and Intermediates - Fredrick Ezeh
    Microsoft Access for Beginners and Intermediates
    Fredrick Ezeh
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  • Microsoft Word for Beginners and Intermediates - Fredrick Ezeh
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    Fredrick Ezeh
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  • Microsoft Excel for Beginners and Intermediates - Fredrick Ezeh
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    Fredrick Ezeh
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  • Machine Learning at Scale with H2O : A practical guide to building and deploying machine learning models on enterprise systems - David Whiting Gregory Keys
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    David Whiting Gregory Keys
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  • Elasticsearch 8.x Cookbook : Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Alberto Paro
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    Alberto Paro
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  • Machine Learning Engineering with Python : Manage the production life cycle of machine learning models using MLOps with practical examples - Andrew P. McMahon
    Machine Learning Engineering with Python
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    Andrew P. McMahon
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  • Data Engineering with AWS : Learn how to design and build cloud-based data transformation pipelines using AWS - Gareth Eagar
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    Gareth Eagar
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  • The Kaggle Book : Data analysis and machine learning for competitive data science - Konrad Banachewicz
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    Konrad Banachewicz
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  • Hands-on Programmatic In-house Digital Advertising : Learn Data Design, AI Implementation, Bidding Strategies, and Strategic Thinking - Raghavendra Agarwala
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    Raghavendra Agarwala
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  • Fail Fast, Learn Faster : Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI - Randy Bean
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    Randy Bean
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  • Serverless Analytics with Amazon Athena : Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure - Anthony Virtuoso
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    Anthony Virtuoso
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  • Azure Data Scientist Associate Certification Guide : A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam - Andreas Botsikas
    Azure Data Scientist Associate Certification Guide
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    Andreas Botsikas and Michael Hlobil
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  • Reproducible Data Science with Pachyderm : Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 - Svetlana Karslioglu
    Reproducible Data Science with Pachyderm
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    Svetlana Karslioglu
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  • Getting Started with CockroachDB : A guide to using a modern, cloud-native, and distributed SQL database for your data-intensive apps - Kishen Das Kondabagilu Rajanna
    Getting Started with CockroachDB
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    Kishen Das Kondabagilu Rajanna
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  • Learn Power BI : A comprehensive, step-by-step guide for beginners to learn real-world business intelligence, 2nd Edition - Greg Deckler
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    Greg Deckler
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  • Intelligent Workloads at the Edge : Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass - Ryan Burke Indraneel Mitra
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    Ryan Burke Indraneel Mitra
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  • Mastering Power BI : Build Business Intelligence Applications Powered with DAX Calculations, Insightful Visualizations, Advanced BI Techniques, and Loads of Data Sources - Chandraish Sinha
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  • Basics of Big Data & Analytics - Pro Career
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  • Disconnected : How to Deliver Realness, Meaning, and Belonging at Work - Colleen McFarland
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  • IBM 1401 Programming Systems : Exploring 1960s Mainframe Programming and IBM 1401 Technology - Anonymous
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  • Mastering PL/SQL Through Illustrations : From Learning Fundamentals to Developing Efficient PL/SQL Blocks - Dr. B. CHANDRA
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  • Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production - Avishek Nag
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  • Mastering PostgreSQL 13 : Build, administer, and maintain database applications efficiently with PostgreSQL 13, 4th Edition - Hans-Jurgen Schonig
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  • The Economics of Data, Analytics, and Digital Transformation : The theorems, laws, and empowerments to guide your organization's digital transformation - Bill Schmarzo
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