Find, explore, and extract big data to transform into actionable insights
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.
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.
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Marek Chmel is a senior cloud solutions architect at Microsoft for data and artificial intelligence, a speaker, and a trainer with more than 15 years' experience. He's a frequent conference speaker, focusing on SQL Server, Azure, and security topics. He has been a Data Platform MVP since 2012. He has earned numerous certifications, including MCSE: Data Management and Analytics, Azure Architect, Data Engineer and Data Scientist Associate, EC Council Certified Ethical Hacker, and several eLearnSecurity certifications. Marek earned his MSc degree in Business and Informatics from Nottingham Trent University. He started his career as a trainer for Microsoft courses and later worked as principal sharepoint administrator and principal database administrator.
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