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SQL Queries for Mere Mortals

John Viescas, John L. Viescas

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Database Design for Mere Mortals : 25th Anniversary Edition

Michael J. Hernandez, Michael J Hernandez, J Michael

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Pandas for Everyone

Daniel Chen, Daniel Y. Chen

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T-SQL Fundamentals (Developer Reference)

Itzik Ben-Gan

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Big Data

Dawn E. Holmes

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Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition Format: Paperback

Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis

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Nine Algorithms That Changed the Future

John MacCormick

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Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema

Lawrence, Lawrence Corr, Corr

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Snowflake

Joyce Kay Avila

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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Wes McKinney, McKinney Wes

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Fundamentals of Data Engineering : Plan and Build Robust Data Systems

Joe Reis, Matthew L. Housley, Matt Housley

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Data Quality Fundamentals

Barr Moses, Lior Gavish, Molly Vorwerck

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Learning Microsoft Power BI

Jeremey Arnold

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Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture

Rukmani Gopalan

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Learning Ray : Flexible Distributed Python for Machine Learning

Max Pumperla, Edward B. Oakes, Richard Liaw

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R Packages

Hadley Wickham, Jennifer Bryan, Wickham Hadley

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Data Quality Engineering in Financial Services

Brian Buzzelli

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Data Management at Scale

Piethein Strengholt

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Data Curious

Carl Allchin, Sarah Nabelsi

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Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

James Serra

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gramatuveikals.lv

SQL Queries for Mere Mortals

Database Design for Mere Mortals : 25th Anniversary Edition

Pandas for Everyone

T-SQL Fundamentals (Developer Reference)

Big Data

Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition Format: Paperback

Nine Algorithms That Changed the Future

Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema

Snowflake

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Fundamentals of Data Engineering : Plan and Build Robust Data Systems

Data Quality Fundamentals

Learning Microsoft Power BI

Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture

Learning Ray : Flexible Distributed Python for Machine Learning

R Packages

Data Quality Engineering in Financial Services

Data Management at Scale

Data Curious

Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

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