Architecting IoT Solutions on Azure : Conquering Complexity for Scalable Device and Data Management
Blaize Stewart
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Automating Data Quality Monitoring at Scale : Scaling Beyond Rules with Machine Learning
Jeremy Stanley
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Fundamentals of Data Observability : Implement Trustworthy End-To-End Data Solutions
Andy Petrella
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Delta Lake: Up and Running : Modern Data Lakehouse Architectures with Delta Lake
Bennie Haelen
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Kafka Connect : Build Data Pipelines by Integrating Existing Systems
Mickael Maison
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Scaling Python with Dask : From Data Science to Machine Learning
Holden Karau
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Data Modeling with Microsoft Power BI
Markus Enhrenmueller-Jensen
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Apache Iceberg: The Definitive Guide : Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Tomer Shiran
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Hands-On Differential Privacy : Introduction to the Theory and Practice Using Opendp
Ethan Cowan
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Cracking the Data Science Interview : Unlock insider tips from industry experts to master the data science field
Leondra R. Gonzalez
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The Complete Power BI Interview Guide : A modern approach to acing the data analyst interview and landing your dream job
Sandielly Ortega Polanco
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Learn Microsoft Fabric : A practical guide to performing data analytics in the era of artificial intelligence
Arshad Ali
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Data Stewardship in Action : A roadmap to data value realization and measurable business outcomes
Pui Shing Lee
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Data Visualisation : A Handbook for Data Driven Design
Andy (Freelance data visualisation specialist and trainer) Kirk
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Fundamentals of Data Visualization : A Primer on Making Informative and Compelling Figures
Claus O Wilke
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Python Data Science Handbook : Essential Tools for Working with Data
Jake Vanderplas
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MongoDB: The Definitive Guide 3e : Powerful and Scalable Data Storage
Shannon Bradshaw
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Machine Learning and Data Science Blueprints for Finance : From Building Trading Strategies to Robo-Advisors Using Python
Hariom Tatsat
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Mastering Kafka Streams and ksqlDB : Building real-time data systems by example
Mitch Seymour
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Learning Google Analytics : Creating Business Impact and Driving Insights
Mark Edmondson
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The Data Science Handbook
Field (Allen Institute for Artificial Intelligence; Stanford Uni Cady
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Data Labeling in Machine Learning with Python : Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
Vijaya Kumar Suda
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Principles of Data Science : A beginner's guide to essential math and coding skills for data fluency and machine learning
Sinan Ozdemir
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Resilient Oracle Pl/SQL : Building Resilient Database Solutions for Continuous Operation
Stephen Morris
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