Microsoft SQL Server is a relational database management system that stores data in tabular format of columns and rows. It has four major components: the Database Engine for storing and retrieving data efficiently; Integration Services (SSIS) for extracting, transforming, and loading data from various sources into destinations; Analysis Services (SSAS) for creating multi-dimensional data structures and performing analysis and data mining; and Reporting Services (SSRS) for generating reports from different tables in various formats like PDF and maps. The SELECT statement is used to retrieve data and has clauses like FROM, WHERE, GROUP BY, HAVING, and ORDER BY. Proper use of filters and indexes in the WHERE clause is important for query performance.

1. Microsoft Sql Server

2. Introduction
• Microsoft SQL Server is a relational database
management system which stores data in tabular
format that is columns and rows wise.
• Sql server major components
1. Database Engine
2. Sql Server Integration Services (SSIS)
3. Sql Server Analyses Services (SSAS)
4. Sql Server Reporting Services (SSRS)

3. Database Engine
• Its task is to provide cores functionalities that
is storing and retrieving the data in very
efficient manner.
1. Creating database objects like table, view, stored procedure
etc.
2. Retrieving, updating, inserting, deleting or merging data from
different database objects.
3. Sending email notification when data is modified.
4. Perform some database scheduled jobs etc.

4. Integration Services(SSIS)
• It can load the 1 TB data in 30 minutes.
• Its task is to extract the data from different sources likes
databases, raw files, XML etc, perform some operations (likes
data cleaning, sending emails etc) and load the data into
different destinations.
• Download the data from FTP severs, correct the spelling, verb
forms etc of data and save in the XML file.

5. Analyses Services(SSAS)
• Its task is to create multi dimensional data
structure of an OLAP system, analyze and
aggregate the data. Also it implements
various data mining models.
1. Get the detail information of sold car over last 10 years for
that family which has three children.
2. Forecasting sales in coming year etc.

6. Reporting Services(SSIS)
• Generate a report by getting data from
different tables in PDF format.
• Generate a report to display total sales in
different location of a country in map view.
• Generate a pie chart to display purchase
volume.

7. SELECT statement
1. FROM
2. ON
3. JOIN
4. WHERE
5. GROUP BY
6. WITH CUBE or WITH ROLLUP
7. HAVING
8. SELECT
9. DISTINCT
10. ORDER BY
11. TOP

8. FROM clause
• [Linked_Server].[Database_Name].[Schema_Name].[Table_Name]

9. WHERE Clause
• This clause filters the records from data
source.
• Wrongly written filter predicates(conditions)
can badly decreases the query performance.

10. Why order doesn't matter?
• Comparison with string is costlier than integer comparison.
• LIKE is itself a costly operator.
• Also if first filter condition will return less result set then
other filter condition has to perform less number of
comparisons.

11. THANK YOU