Book Image

Hands-On Data Science with SQL Server 2017

By : Marek Chmel, Vladimír Mužný
Book Image

Hands-On Data Science with SQL Server 2017

By: Marek Chmel, Vladimír Mužný

Overview of this book

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. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples. By the end of this book, you will be in a position to handle the growing amounts of data and perform everyday activities that a data science professional performs.
Table of Contents (14 chapters)

Data science in the cloud

We're focusing on SQL Server, but you need to be aware of the fact that machine learning as a service was first available in Microsoft Azure cloud before it was available with SQL Server. There are already seven services associated with machine learning available in Azure (two of them, however, are already retiring):

  • HDInsight clusters
  • Machine Learning Studio web service plan
  • Machine Learning Studio workspaces
  • Machine Learning Studio web services
  • Machine Learning Service workspaces
  • Machine Learning Model Management (Retiring)
  • Machine Learning Experimentation (Retiring)

These services, together with the proper tools, can be another entry point to data science and working with your data. One of the tools you can use is Machine Learning Studio, a free online application, which you can use to create your experiments.

Azure Machine Learning Studio...