Between the Spreadsheets : Classifying and Fixing Dirty Data
Susan Walsh
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Big Data Fundamentals : Concepts, Drivers & Techniques
Thomas Erl
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Learning Google Analytics : Creating Business Impact and Driving Insights
Mark Edmondson
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High Performance MySQL : Proven Strategies for Running MySQL at Scale
Silvia Botros
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Dark Data : Why What You Don’t Know Matters
David J. Hand
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Learning MySQL : Get a Handle on Your Data
Vinicius M. Grippa
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Regulation of Cloud Services Under Us and EU Antitrust, Competition and Privacy Laws
Sara Gabriella Hoffman
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Data Centers: Edges of a Wired Nation
Monika Dommann
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Data Wrangling with JavaScript
Ashley Davis
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition
Paul Deitel
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SQL Server Advanced Troubleshooting and Performance Tuning : Best Practices and Techniques
Dmitri Korotkevitch
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Efficient MySQL Performance : Best Practices and Techniques
Daniel Nichter
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The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture
Rukmani Gopalan
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Enterprise Data Architecture : How to navigate its landscape
Dave Knifton
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Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights
Joanne Rodrigues
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Foundational Python for Data Science
Kennedy Behrman
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Graph Databases in Action
Dan Bechberger
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Big Data im Gesundheitswesen kompakt : Konzepte, Losungen, Visionen
Holm Landrock
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Data Engineering with Python : Work with massive datasets to design data models and automate data pipelines using Python
Paul Crickard
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Mastering PostgreSQL 13 : Build, administer, and maintain database applications efficiently with PostgreSQL 13, 4th Edition
Hans-Jurgen Schoenig
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Beginning Azure Synapse Analytics : Transition from Data Warehouse to Data Lakehouse
Bhadresh Shiyal
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Fundamentals of Music Processing : Using Python and Jupyter Notebooks
Meinard Muller
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Machine Learning for Text
Charu C. Aggarwal
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Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
Eric Tome
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