Microsoft SQL Analyst- MS SQL |Azure SQL| SSMS |Data Studio
Microsoft SQL Analyst- MS SQL |Azure SQL| SSMS |Data Studio, available at $19.99, has an average rating of 4.4, with 49 lectures, based on 12 reviews, and has 2834 subscribers.
You will learn about Filtering data Sorting Data Grouping Data Combining Data Create Database and Table Insert Data Update and Delete Data This course is ideal for individuals who are Beginners to Data Analysis with Microsoft SQL (T-SQL) It is particularly useful for Beginners to Data Analysis with Microsoft SQL (T-SQL).
Enroll now: Microsoft SQL Analyst- MS SQL |Azure SQL| SSMS |Data Studio
Summary
Title: Microsoft SQL Analyst- MS SQL |Azure SQL| SSMS |Data Studio
Price: $19.99
Average Rating: 4.4
Number of Lectures: 49
Number of Published Lectures: 49
Number of Curriculum Items: 49
Number of Published Curriculum Objects: 49
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will Learn
- Filtering data
- Sorting Data
- Grouping Data
- Combining Data
- Create Database and Table
- Insert Data
- Update and Delete Data
Who Should Attend
- Beginners to Data Analysis with Microsoft SQL (T-SQL)
Target Audiences
- Beginners to Data Analysis with Microsoft SQL (T-SQL)
MSSQLis a suite of database software published by Microsoft and used extensively within our enterprise. Typically, it includes a relational database engine, which stores data in tables, columns and rows, Integration Services (SSIS), which is a data movement tool for importing, exporting and transforming data, Reporting Services (SSRS), which is used to create reports and serve reports to end users, and also Analysis Services (SSAS), which is a multidimensional database used to query data from the main database engine.
Azure SQL is a family of managed, secure, and intelligent products that use the SQL Server database engine in the Azure cloud.
SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure. Use SSMS to access, configure, manage, administer, and develop all components of SQL Server, Azure SQL Database, and Azure Synapse Analytics. SSMS provides a single comprehensive utility that combines a broad group of graphical tools with a number of rich script editors to provide access to SQL Server for developers and database administrators of all skill levels.
Transact-SQL (T-SQL) is Microsoft’s and Sybase’s proprietary extension to the SQL (Structured Query Language) used to interact with relational databases. T-SQL expands on the SQL standard to include procedural programming, local variables, various support functions for string processing, date processing, mathematics, etc. and changes to the DELETE and UPDATE statements.
Transact-SQL is central to using Microsoft SQL Server. All applications that communicate with an instance of SQL Server do so by sending Transact-SQL statements to the server, regardless of the user interface of the application.
Azure Data Studio is a cross-platform database tool for data professionals using on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal.
Course Curriculum
Chapter 1: SQL Server Setup
Lecture 1: Overview of SQL Server
Lecture 2: Introduction
Lecture 3: What is SQL Server
Lecture 4: SQL Server Editions
Lecture 5: Installation Requirements
Lecture 6: Download SQL Server
Lecture 7: Install SQL Server
Lecture 8: Install SSMS
Lecture 9: Connect SSMS to SQL Server
Lecture 10: Install Sample Database
Chapter 2: Data Analysis with T-SQL & SQL Server
Lecture 1: Filtering data with equality filters
Lecture 2: Filtering data with comparisons
Lecture 3: Filtering data with logical comparisons
Lecture 4: Filtering data with string comparisons
Lecture 5: Filtering data with NULL Comparisons
Lecture 6: Sorting data with ORDER BY
Lecture 7: Sorting data in ascending order
Lecture 8: Sorting data in descending order
Lecture 9: Sorting data by multiple columns
Lecture 10: Analysing data with SET Operators
Lecture 11: Query data with EXCEPT Operator
Lecture 12: Query data with INTERSECT Operator
Lecture 13: Query data with UNION Operator
Lecture 14: Aggregating data with Aggregate functions
Lecture 15: Analyse data using COUNT Aggregate function
Lecture 16: Analyse data using AVG Aggregate function
Lecture 17: Analyse data using MAX Aggregate function
Lecture 18: Analyse data using MIN Aggregate function
Lecture 19: Analyse data using SUM Aggregate function
Lecture 20: Grouping Data
Lecture 21: Analysing and combining data from multiple tables
Lecture 22: Analysing data with INNER Join
Lecture 23: Analysing data with LEFT Outer Join
Lecture 24: Analysing data with Right Outer Join
Chapter 3: Azure SQL Data Analysis
Lecture 1: What is Azure
Lecture 2: What is Azure SQL
Lecture 3: Creating Azure Account
Lecture 4: How to access Azure Services
Lecture 5: Create a database
Lecture 6: Query Database
Lecture 7: Connect Azure SQL Database with SSMS
Lecture 8: Insert data into Azure SQL Database
Lecture 9: Update Data in Azure SQL Database
Lecture 10: Delete Data from Azure SQL Database
Lecture 11: Install Azure Data Studio
Lecture 12: Connect Azure Data Studio to Azure Database
Lecture 13: Create a new Database
Lecture 14: Create a table
Lecture 15: Insert data and query data
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 3 votes
- 5 stars: 8 votes
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