You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. 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 explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. 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. 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. Understand how SQL is used for big data processing using HiveQL and SparkSQL.Real-world examples, tasks, and interview queries to be a proficient data scientist.Perform end-to-end data analysis-from exploration to visualization.Find, explore, and extract big data to transform into actionable insights Key Features
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