This is the code repository for Hands-On-Data-Science-with-SQL-Server-2017, published by Packt.
Perform end-to-end data analysis to gain efficient data insight
SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features.
This book covers the following exciting features:
- Understand what data science is and how SQL Server is used for big data processing
- Analyze incoming data with SQL queries and visualizations
- Create, train, and evaluate predictive models
- Make predictions using trained models and establish regular retraining courses
- Incorporate data source querying into SQL Server
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
SELECT COUNT(*) AS RecordCount -- 19972
, COUNT(MiddleName) AS PeopleUsingMiddleName -- 11473
, COUNT(DISTINCT MiddleName) AS MiddleNamesUsed -- 70
FROM Person.Person
Following is what you need for this book: Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. This book will be helpful even for beginners who want to build their career as data science professionals using the power of SQL Server 2017. Basic familiarity with SQL language will aid with understanding the concepts covered in this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-12).
| Chapter | Software required | OS required |
|---|---|---|
| 1 | SQL Server Management Studio | Windows |
| 2 | SQL Server 2017 | Windows |
| 3 | SQL Server configuration Management | Windows |
Marek Chmel Marek Chmel is an IT consultant and trainer with more than 10 years' experience. He is a frequent speaker, focusing on Microsoft SQL Server, Azure, and security topics. Marek writes for Microsoft's TechnetCZSK blog and has been an MVP: Data Platform since 2012. He has earned numerous certifications, including MCSE: Data Management and Analytics, EC Council Certified Ethical Hacker, and several eLearnSecurity certifications. Marek earned his MSc (business and informatics) degree from Nottingham Trent University. He started his career as a trainer for Microsoft server courses. Later, he joined AT&T, as a principal database administrator specializing in MSSQL Server, Data Platform, and Machine Learning.
Vladimír Mužný Vladimír Mužný has been a freelance IT consultant, developer, and Microsoft data platform trainer since 2000. He is also a frequent speaker on local events in Czech Republic and Slovakia. His most favorite topics are not only MS SQL Server, but also data integration, data science or NoSQL topics. During his career, Vladimír has earned certifications such as MCSE: Data Management and Analytics, MVP: Data Platform and MCT. Nowadays, Vladimír is a data science enthusiast and works on data migration/integration projects also with output to machine learning models.
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