Course Length: 3 Days
Delivered: Virtually
OVERVIEW:
This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence.
TARGET AUDIENCE:
This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools.
COURSE OBJECTIVES:
After completing this course, students will be able to:
- Identify independent and dependent variables and measurement levels in their own analytical work scenarios.
- Identify variables of interest in relational database tables.
- Choose a data aggregation level and data set design appropriate for the intended analysis and tool.
- Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others.
- Create stored procedures, views, and functions to modularize data retrieval code.
COURSE CONTENT:
Introduction to TSQL for Business Intelligence
- Two Approaches to SQL Programming
- TSQL Data Retrieval in an Analytics / Business Intelligence Environment
- The Database Engine
- SQL Server Management Studio and the CarDeal Sample Database
- Identifying Variables in Tables
- SQL is a Declarative Language
- Introduction to the SELECT Query
- Lab 1: Introduction to TSQL for Business Intelligence
Turning Table Columns into Variables for Analysis: SELECT List Expressions, WHERE, and ORDER BY
- Turning Columns into Variables for Analysis
- Column Expressions, Data Types, and Built-in Functions
- Column aliases
- Data type conversions
- Built-in Scalar Functions
- Table Aliases
- The WHERE clause
- ORDER BY
- Lab 1: Write queries
Combining Columns from Multiple Tables into a Single Dataset: The JOIN Operators
- Primary Keys, Foreign Keys, and Joins
- Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product
- Understanding Joins, Part 2: The INNER JOIN
- Understanding Joins, Part 3: The OUTER JOINS
- Understanding Joins, Part 4: Joining more than two tables
- Understanding Joins, Part 5: Combining INNER and OUTER JOINs
- Combining JOIN Operations with WHERE and ORDER BY
- Lab 1: Write SELECT queries
Creating an Appropriate Aggregation Level Using GROUP BY
- Identifying required aggregation level and granularity
- Aggregate Functions
- GROUP BY
- HAVING
- Order of operations in SELECT queries
- Lab 1: Write queries
Subqueries, Derived Tables and Common Table Expressions
- Non-correlated and correlated subqueries
- Derived tables
- Common table expressions
- Lab 1: Write queries
Encapsulating Data Retrieval Logic
- Views
- Table-valued functions
- Stored procedures
- Creating objects for read-access users
- Creating database accounts for analytical client tools
- Lab 1: Encapsulating Data Retrieval Logic
Getting Your Dataset to the Client
- Connecting to SQL Server and Submitting Queries from Client Tools
Connecting and running SELECT queries from:
- RStudio
- Exporting datasets to files using
- Results pane from SSMS
- The bcp utility
- The Import/Export Wizard
- Lab 1: Getting Your Dataset to the Client
