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Advanced Analytics with Transact-SQL - Exploring Hidden Patterns and Rules in Your Data (Paperback, 1st ed.)
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Advanced Analytics with Transact-SQL - Exploring Hidden Patterns and Rules in Your Data (Paperback, 1st ed.)
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Learn about business intelligence (BI) features in T-SQL and how
they can help you with data science and analytics efforts without
the need to bring in other languages such as R and Python. This
book shows you how to compute statistical measures using your
existing skills in T-SQL. You will learn how to calculate
descriptive statistics, including centers, spreads, skewness, and
kurtosis of distributions. You will also learn to find associations
between pairs of variables, including calculating linear regression
formulas and confidence levels with definite integration. No
analysis is good without data quality. Advanced Analytics with
Transact-SQL introduces data quality issues and shows you how to
check for completeness and accuracy, and measure improvements in
data quality over time. The book also explains how to optimize
queries involving temporal data, such as when you search for
overlapping intervals. More advanced time-oriented information in
the book includes hazard and survival analysis. Forecasting with
exponential moving averages and autoregression is covered as well.
Every web/retail shop wants to know the products customers tend to
buy together. Trying to predict the target discrete or continuous
variable with few input variables is important for practically
every type of business. This book helps you understand data science
and the advanced algorithms use to analyze data, and terms such as
data mining, machine learning, and text mining. Key to many of the
solutions in this book are T-SQL window functions. Author Dejan
Sarka demonstrates efficient statistical queries that are based on
window functions and optimized through algorithms built using
mathematical knowledge and creativity. The formulas and usage of
those statistical procedures are explained so you can understand
and modify the techniques presented. T-SQL is supported in SQL
Server, Azure SQL Database, and in Azure Synapse Analytics. There
are so many BI features in T-SQL that it might become your primary
analytic database language. If you want to learn how to get
information from your data with the T-SQL language that you already
are familiar with, then this is the book for you. What You Will
Learn Describe distribution of variables with statistical measures
Find associations between pairs of variables Evaluate the quality
of the data you are analyzing Perform time-series analysis on your
data Forecast values of a continuous variable Perform market-basket
analysis to predict customer purchasing patterns Predict target
variable outcomes from one or more input variables Categorize
passages of text by extracting and analyzing keywords Who This Book
Is For Database developers and database administrators who want to
translate their T-SQL skills into the world of business
intelligence (BI) and data science. For readers who want to analyze
large amounts of data efficiently by using their existing knowledge
of T-SQL and Microsoft's various database platforms such as SQL
Server and Azure SQL Database. Also for readers who want to improve
their querying by learning new and original optimization
techniques.
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