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Martin Kleppmann

Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems

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Dama International

DAMA-DMBOK (2nd Edition): Data Management Body of Knowledge

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Rob Collie

Power Pivot And Power Bi: The Excel User's Guide To Dax, Power Query, Power Bi & Power Pivot In Excel 2010-2016

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Christopher Adamson

Star Schema The Complete Reference

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Obed Peterson

Google Pixel Watch Guide 2022: Step by step guide to get the most of your pixel watch

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Wayne L. Winston

Mathletics: How Gamblers, Managers, And Fans Use Mathematics In Sports, Second Edition

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Ron L'Esteve

The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, DataBricks, Synapse Analytics, and Snowflake

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Margy Ross

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

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Ron Kohavi

Trustworthy Online Controlled Experiments: A Practical Guide To A/b Testing

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Chris Albon

Machine Learning With Python Cookbook: Practical Solutions From Preprocessing To Deep Learning

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Dewan Masud Karim

Shifting Mobility: Part 1: Transforming Planning and Design for New Human Mobility Code

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Stefan Papp

The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics

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Brian Steele

Algorithms For Data Science

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Lawrence Corr

Agile Data Warehouse Design: Collaborative Dimensional Modeling, From Whiteboard To Star Schema

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John Hilfiger

Graphing Data With R: An Introduction

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Matt Allington

Supercharge Power Bi: Power Bi Is Better When You Learn To Write Dax

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Jeremy Adamson

Minding The Machines: Building And Leading Data Science And Analytics Teams

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Sireesha Pulipati

Data Storytelling with Google Looker Studio: A hands-on guide to using Looker Studio for building compelling and effective dashboards

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Daniel Coupal

MongoDB Data Modeling and Schema Design

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Steven Cooper

Data Science From Scratch: The #1 Data Science Guide For Everything A Data Scientist Needs To Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, And Decision Trees

Hardcover

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Rick Copeland

Mongodb Applied Design Patterns: Practical Use Cases With The Leading Nosql Database

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Brij Kishore Pandey

Building ETL Pipelines with Python: Create and deploy enterprise-ready ETL pipelines by employing modern methods

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John Paul Mueller

Data Science Programming All-In-One For Dummies

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Eryk Lewinson

Python for Finance Cookbook - Second Edition: Over 80 powerful recipes for effective financial data analysis

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Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems

DAMA-DMBOK (2nd Edition): Data Management Body of Knowledge

Power Pivot And Power Bi: The Excel User's Guide To Dax, Power Query, Power Bi & Power Pivot In Excel 2010-2016

Star Schema The Complete Reference

Google Pixel Watch Guide 2022: Step by step guide to get the most of your pixel watch

Mathletics: How Gamblers, Managers, And Fans Use Mathematics In Sports, Second Edition

The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, DataBricks, Synapse Analytics, and Snowflake

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

Trustworthy Online Controlled Experiments: A Practical Guide To A/b Testing

Machine Learning With Python Cookbook: Practical Solutions From Preprocessing To Deep Learning

Shifting Mobility: Part 1: Transforming Planning and Design for New Human Mobility Code

The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics

Algorithms For Data Science

Agile Data Warehouse Design: Collaborative Dimensional Modeling, From Whiteboard To Star Schema

Graphing Data With R: An Introduction

Supercharge Power Bi: Power Bi Is Better When You Learn To Write Dax

Minding The Machines: Building And Leading Data Science And Analytics Teams

Data Storytelling with Google Looker Studio: A hands-on guide to using Looker Studio for building compelling and effective dashboards

MongoDB Data Modeling and Schema Design

Data Science From Scratch: The #1 Data Science Guide For Everything A Data Scientist Needs To Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, And Decision Trees

Mongodb Applied Design Patterns: Practical Use Cases With The Leading Nosql Database

Building ETL Pipelines with Python: Create and deploy enterprise-ready ETL pipelines by employing modern methods

Data Science Programming All-In-One For Dummies

Python for Finance Cookbook - Second Edition: Over 80 powerful recipes for effective financial data analysis