Queries for BI Training Overview
This Writing Analytical Queries for Business Intelligence training, Microsoft Community Course 55232, teaches students how to write T-SQL queries for the purpose of database reporting, analysis, and business intelligence. This BI course provides a consistent, direct, and purposeful learning path for RDBMS data retrieval for use in analytical tools such as SQL Server Reporting Services, Power BI, R, and Excel.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, we offer some courses as live, instructor-led online classes for individuals.
Objectives
- 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 T-SQL SELECT queries to produce ready-to-use data sets for analysis in tools such as Power BI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others
- Create stored procedures, views, and functions to modularize data retrieval code
Prerequisites
Students should have:
- Context knowledge of data analysis and business intelligence scenarios. For example, an understanding of a work-related business intelligence project or need
- Basic knowledge of the Windows operating system and its core functionality, including file system navigation
- Basic understanding of the purpose of relational database management systems such as SQL Server
Outline
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Introduction to TSQL for Business Intelligence
- Two Approaches to SQL Programming
- T-SQL 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
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
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
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
Subqueries, Derived Tables and Common Table Expressions
- Non-correlated and correlated subqueries
- Derived tables
- Common table expressions
Encapsulating Data Retrieval Logic
- Views
- Table-valued functions
- Stored procedures
- Creating objects for read-access users
- Creating database accounts for analytical client tools
Getting Your Dataset to the Client
- Connecting to SQL Server and Submitting Queries from Client Tools
- Connecting and running SELECT queries from:
- Excel
- Power BI
- RStudio
- Exporting datasets to files using
- Results pane from SSMS
- The bcp utility
- The Import/Export Wizard
Conclusion
Training Materials
All BI training students receive Microsoft official courseware.
Software Requirements
Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.
