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Hands-On Data Science with SQL Server 2017 - Perform end-to-end data analysis to gain efficient data insight (Paperback)
Loot Price: R1,281
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Hands-On Data Science with SQL Server 2017 - Perform end-to-end data analysis to gain efficient data insight (Paperback)
Expected to ship within 10 - 15 working days
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Find, explore, and extract big data to transform into actionable
insights Key Features Perform end-to-end data analysis-from
exploration to visualization Real-world examples, tasks, and
interview queries to be a proficient data scientist Understand how
SQL is used for big data processing using HiveQL and SparkSQL Book
DescriptionSQL 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. What you will learn 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 Enhance built-in T-SQL
capabilities using SQLCLR Visualize data with Reporting Services,
Power View, and Power BI Transform data with R, Python, and Azure
Who this book is forHands-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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