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55232 Writing Analytical Queries for Business Intelligence

55232 Writing Analytical Queries for Business Intelligence

$595 - $1,895

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Microsoft Technical
SQL Server

Course Highlights

ILT DURATION: 3 Day(s)

SKILL LEVEL:

Intermediate

BRAND/TECHNOLOGY:

TOPICS:

Data & Analytics

55232 Writing Analytical Queries for Business Intelligence Course Outline

This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence.

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.

Setting learning of information examination and business knowledge situations. For instance, a comprehension of a business-related business knowledge venture or need. Fundamental information of the Windows working framework and its center usefulness, including document framework route. Essential comprehension of the reason for social database administration frameworks, for example, SQL Server.

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.

1 – 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

2 – 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

3 – 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

4 – 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

5 – SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS

Non-correlated and correlated subqueries
Derived tables
Common table expressions
Lab 1: Write queries

6 – 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

7 – GETTING YOUR DATASET TO THE CLIENT

Connecting to SQL Server and Submitting Queries from Client Tools
Connecting and running SELECT queries from:
Excel
PowerBI
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

55232 Writing Analytical Queries for Business Intelligence

55232 Writing Analytical Queries for Business Intelligence Course Outline

1 – INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE

2 – TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY

3 – COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS

4 – CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY

5 – SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS

6 – ENCAPSULATING DATA RETRIEVAL LOGIC

7 – GETTING YOUR DATASET TO THE CLIENT

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55232 Writing Analytical Queries for Business Intelligence

55232 Writing Analytical Queries for Business Intelligence Course Outline

1 – INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE

2 – TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY

3 – COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS

4 – CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY

5 – SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS

6 – ENCAPSULATING DATA RETRIEVAL LOGIC

7 – GETTING YOUR DATASET TO THE CLIENT

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