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 ForDatabase
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.
