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SQL Server 2012 Querying (70-461) Part 2

SQL Server 2012 Querying (70-461) Part 2

1425/month
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Self paced
English
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PluralsightCourses from Pluralsight
Certificate awarded
Intermediate
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Map your Career

Not sure which job profiles this course will open for you? Check out our AI based tool to get a complete personalized career map.

Checklist

Certification

You will get a certificate on completing this course.

University

This course is not affiliated with any university.

Price

This course costs very less.

Edvicer's Rewards

You can get a cashback of ₹ 100 on buying this course.

Why should you choose this course?

Description

Part 2 of 2 in the SQL Server 2012 Querying (70-461) series is designed to teach students how to query and work with a SQL Server 2012 database.

Syllabus

Introduction
Transactions
Concurrency
Concurrency Issues
Read Noncommitted
Read Committed
Repeatable Read
Serializable
Snapshot
Try/Catch
Raising Errors
Using THROW
Introduction
XML Concepts
Well-Formed Documents
Validation
Using FOR XML
FOR XML AUTO
Controlling XML Creation
XML Datatype
Using OPENXML
OPENXML Demo
Designing Tables
Managing Tables
Altering Tables
Introduction
Data Validation Concepts
Implementing Constraints
Identity Columns
Primary Key Constraints
Foreign Key Cascade Options
Foreign Key Cascade Demo
Introduction
Trigger Concepts
Creating Triggers
Triggers Demo
View Concepts
View Syntax
View Demo
Stored Procedure Concepts
Creating Stored Procedures
Stored Procedure Demo
Introduction
User Defined Function Concepts
Creating User Defined Functions
Apply Operators

What others say about this course

FAQs

What is SQL?

Structured Query Language (SQL) is a domain-specific language designed for data management for RDBMS. SQL comes particularly handy in managing structured data and offers certain advantages, such as allowing the access of multiple records through a single command and eliminating the need to specify how to access a record. In simpler words, SQL provides tools to the programmer to define, control and manipulate data in a relational model including tables, rows, and columns.

What are the Prerequisites for learning SQL?

If you wish to learn SQL programming, know the prerequisites well for a smooth learning journey. SQL is a basic query language used primarily for databases, coming with no prerequisites as such. With a simple syntax, there aren't many specific requirements, but it would be helpful to learn database concepts, calculus theories, and basic RDBMS concepts. Once you get a hold of these concepts, you are good to go.

Why should you learn SQL?

SQL query is purely a text message application which can help you access data. SQL is used for most relational storage systems, and it is more of a query language than a programming language. Learning SQL helps the programmers in accessing data with greater efficiency through basic queries. It is predominantly effectual for data manipulation, and the data stored in SQL is dynamic, which means it can be manipulated and modified at any point of time using a set of basic queries. These features make SQL fully equipped to manage datasets of all shapes and sizes.

How can Edvicer help you find the best SQL courses?

Edvicer is a great place to learn SQL with a large number of SQL courses, both free and paid, and projects, both for practice and freelancing. Edvicer has helped a large number of people learn SQL online through the best courses from the top providers like Coursera, Udemy, Udacity, and Pluralsight.

What are the top jobs that I can get from learning SQL?

The top job profile for SQL experts are Dotnet Developer with an average salary of INR 5 LPA, Software Engineer with an average salary of INR 7 LPA, and Database Administrator with an average salary of INR 7 LPA. Get your career map for your skills here.

What can I learn after learning SQL?

After learning SQL, the top skills you can learn to open highest number of job profiles for you are Python, Java, and Data Analytics. The top skills that can get you jobs with highest salaries are Node.js, Data Mining, and Statistical Modeling

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