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.
