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Hb33 Data Engineering Science Oreil Books Categories
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Hb33 Data Engineering Science Oreil Books Categories
Hb33 Data Engineering Science Oreil Categories Books List
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Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch (Paperback)
By:
Adi Polak
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Data Science on AWS (ebook)
By:
Chris Fregly
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Implementing Data Mesh: Design, Build, and Implement Data Contracts, Data Products, and Data Mesh (Paperback)
By:
Jean-Georges Perrin
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Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Paperback)
By:
Sam Lau
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Streaming Databases: Unifying Batch and Stream Processing (Paperback)
By:
Hubert Dulay
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Hands-On Differential Privacy: Introduction to the Theory and Practice Using OpenDP (Paperback)
By:
Ethan Cowan
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Fuzzy Data Matching with SQL: Enhancing Data Quality and Query Performance (Paperback)
By:
Jim Lehmer
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Scaling Python with Dask: From Data Science to Machine Learning (Paperback)
By:
Holden Karau
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Learning SQL (Paperback)
By:
Alan Beaulieu
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Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics (Paperback)
By:
Hadrien Jean
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Scaling Python with Ray: Adventures in Cloud and Serverless Patterns (Paperback)
By:
Holden Karau
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Learning Snowflake SQL and Scripting: Generate, Retrieve, and Automate Snowflake Data (Paperback)
By:
Alan Beaulieu
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Paperback)
By:
Peter Bruce
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Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale (Paperback)
By:
Gaurav Ashok Thalpati
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Software Engineering for Data Scientists: From Notebooks to Scalable Systems (Kindle Edition)
By:
Catherine Nelson
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The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation (Kindle Edition)
By:
Ole Olesen-Bagneux
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Financial Data Engineering: Design and Build Data-Driven Financial Products (Paperback)
By:
Tamer Khraisha
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Data Science from Scratch: First Principles with Python (ebook)
By:
Joel Grus
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Data Science: The Hard Parts: Techniques for Excelling at Data Science (Kindle Edition)
By:
Daniel Vaughan
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Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools (Paperback)
By:
Jeroen Janssens