SQL SERVER

SQL SERVER TRAINING: I am item content. Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. V CUBE SOFTWARE SOLUTIONS provides SQL Server Training in Hyderabad. We offer Real-time Database Design in hands-on experience in live Case Studies.

Duration:25 days

SQL Server key highlights

 100+ hours of learning

 Real-time industry professionals curate the course.

Internships and live projects

Dedicated staff of placement experts

Placement is guaranteed 100 percent Assistance

28+ Skills That Are Useful in the Workplace

Trainers with a minimum of 12 years of experience

Videos and back-up classes

Subject Matter Experts Deliver Guest Lectures

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Description of the SQL Server Course

*Why SQL Server is so popular:

SQL Server is a Microsoft product. It used to manage and store information. SQL Server is a “relational database management system”. Apart, this term means two things. First, that data stored inside SQL Server in a “relational database”. second, that SQL Server is an entire “management system”, not a database. SQL itself stands for Structured Query Language. The language used to manage and administer the database server.  

 A Power BI dataset from a relational database that exists on premises in your local network. Specifically, this tutorial uses a sample SQL Server database, which Power BI must access through an on-premises data gateway.

1. Create and publish a Power BI Desktop (.pbix) file that imports data from a SQL Server database on-premises.

2. Configure Power BI’s data source and dataset settings for SQL Server connectivity via a data gateway.

3. Set up a refresh schedule to ensure that your Power BI dataset is always up to date.

4. Perform an on-demand dataset refresh.

5. Examine the refresh history to see how previous refresh cycles fared.

6. Delete the artefacts created in this tutorial to free up resources.

 

Curriculum for the MSBI

What is Database?

What is Data Warehouse?

Difference between Database & Data Warehouse

Database Creation using GUI 

Database Creation using T-SQL Scripts

DB Design using Files • File locations and Size Parameters

DB Log Files, Growth and Placement 

DB Structure Modifications & Ownership

Table creation using T-SQL Scripts

DML Operations: INSERT, UPDATE, DELETE

Single Row and Multi-Row Insert Statements 

Table Aliases, Column Aliases & Usage

Table creation with Schemas

DELETE versus TRUNCATE Statements

 SELECT Queries and Sub Queries

 Schemas and Nested Queries with Aliases

Data Integrity and Normal Forms

 Tables with Keys & Constraints

NULL and IDENTITY Properties – Usage

 UNIQUE KEY Constraint and NOT NULL

 PRIMARY KEY Constraint & Importance

FOREIGN KEY and REFERENCE Attributes 

CHECK and DEFAULT Constraints, Usage

SELECT Statements – IIF, SWITCH, CHOOSE 

ORDER BY, GROUP BY, GROUPING, HAVING

Sub Queries, Nested Queries and EXISTS 

DELETE from SELECT, UPDATE from SELECT 

INSERT INTO … SELECT & Data Copy

Inner Joins – Purpose and Performance

 Outer Joins – Types, Advantages and Usage

Cross Joins – Advantages and Limitations 

Self Joins and Sub Queries

Benefits of Views – End User Access 

Defining Views on Tables and Views 

SCHEMABINDING and Encryption Options

ALTER TABLE Issues and Solutions with Views

System Views & Management Views: Audits 

Joins and Nested Sub Queries in Views

Functions – Syntax, Usage, and Importance

 Scalar-Valued Functions and Examples 

Table Valued Functions and Examples 

System Functions and Joins – CROSS APPLY

 Date, Time and Conversion Functions 

String Functions and Meta-data Functions

ROWCOUNT, GROUPING, ROLLUP Functions

Joining Functions and Tables / Views

Need for Indexes, Index Types & Usage 

Indexing Table & View Columns

Index SCAN AND SEEK

PRIMARY KEYS and Non-Clustered Indexes

Need for Stored Procedures & Syntax

 Use of Variables and Query Parameters 

Stored Procedures with Loops &IF… ELSE

SCHEMABINDING and ENCRYPTION Options

INPUT, OUTPUT & RESULTSET Parameters 

System Stored Procedures and Nesting 

Dynamic SQL Queries and Parameters 

Stored Procedures, Data Validation Options

OUTPUT Parameters and Result set Options

Triggers – Architecture, Types & Usage 

DML Triggers and Performance Impact

INSERTED and DELETED Memory Tables 

Triggers for Audit Operations (Memory)

Cursor Declaration and Fetch Options

 STATIC and DYNAMIC Cursor Types 

SCROLL and FORWARD_ONLY Cursors 

LOCAL and GLOBAL Cursors – Scope

KEYSET Cursors and Temp Objects

Embedding Cursors in SPs and Functions 

Temp Tables and Procedures with Cursors

Common Table Expressions (CTE) and Queries 

Stored Procedures with CTE: Tuning Options

Transaction Options and Stored Procedures

 ACID Properties in T-SQL and Scope 

EXPLICIT Transaction Types and Issues 

IMPLICIT Transactions Types and Issues 

AUTOCOMMIT Transaction and Advantages 

Nested Points and Save Points usage 

Query Blocking Issues and Query Hints

SPs with Transactions & Temp Objects

 

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