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SQl server is a Relational database management system(RDBMS) developed by microsoft.SQL is a highly designed server to make a competition with MySQL and Oracle database.this product is hugely scalable so that it can be run on any platform from simple laptop to highly network cloud servers.ANSI SQL,which is defined as the standard SQL(Structured Query Language) is also supported by SQL Server. It consider its own implmentation related to SQL languages,T-SQL(transact-SQL).SQL server have their advanced tools like main interface tool called as SQL Server Management Studio(SSMS) which supports the environment in both 32 bits and 64 bits.
SQL has evolved new versions like SQL Server 2000,2005,2008,2012,2014,2016 and 2017 with enterprise information platform. Built-in business intelligence tools,range of analysis and reporting tools are the advanced tool provided by SQL Server.
SQL Server Database:
SQL Server Services
*Instance-Specific (one service per instance):
-SQL Server Agent
-SQL Server Browser
-SQL Server Active Directory Helper
SQL refers to a programming language which is used to communicate with a database. It stands for Structured Query Language and used for retrieve, store and manipulate the data from database. SQL database comprise of management model and data storage which is useful for the enterprise users. It also supports the SQL procedures. Due to this features, developers can implement the business logic into the database.
SQL language acts as a standard language for RDBMS as it performs the all data operation in it. Structured Query Language is based on the various elements. The SQL command line interface is used to execute the language commands in DBMS. Major elements that involved in the SQL are Clauses, Expressions, Statements, Queries and Predicates. Some of the concepts that involved in this are listed below:
- Logical Query Processing
- Multi-Table Queries
- Data Modification
- Query Tuning
- Programmable Objects
- Grouping, Pivoting and Windowing
- TOP and OFFSET-FETCH
- In-Memory OLTP
- Query Optimization
For performing the operations in data, SQL provides many in built function to users. These functions enable the user to perform various tasks such as string concatenations, mathematical calculations, etc. Functions of SQL are mainly divided into two categories, including Aggregrate Functions and Scalar functions. Aggregrate Functions operates on the whole set of data while Scalar Functions operate only on the single data values.
SQL has established a variety of database products and includes the products from MS SQL Server also. Some well known products of SQL are listed below:
- SQL Server 2016: this product comes with the variety of its features, including JSON support, PolyBase, Row level security, and many more.
- SQL Server Business Intelligence: this product is useful for the business field.
- ORACLE: Oracle is very large and well known product for client/server computing. It supports the all major OS.
- CLOUD SQL: it is completely managed MYSQL database service.
- MS ACCESS: this is an entry level DBMS software. It is the well known product of Microsoft. It is easy to use easy to use.
- MySQL: it is most popular open source database which enables user to deliver scalable database applications.
Some of the core topics of SQL are listed below:
- Cursors: cursor is defined as a moving pointer that is controlled by the user with an input device such as mouse, touch pad, etc.
- Temporary tables: temporary tables are created in the tempdb database with the help of Transact-SQL.
- Stored procedures: it contains large grouping of SQL statements and act as an important one for the professional database programmer.
- Triggers: it is a type of stored procedures which can be execute in response to one of the three conditions. These three conditions are UPDATE, INSERT and DELETE.
- Embedded SQL: it comprises of Dynamic and Static SQL statements.
SQL comes with wide range of its queries. It can be specific with the help of various clauses such as FROM, ORDER BY, WHERE, and many more. It also involves a wide range of its commands. SQL commands are divided into following categories:
- DDL: DDL stands for data definition language used in database for modifying, dropping and creating the structure of database objects. SQL involves the several commands in its DDL section which are CREATE, DROP, RENAME, ALTER and TRUNCATE.
- DML: DML stands for Data Manipulation Language used for updating, deleting and inserting the data. Commands that involved in DML are as SELECT, UPDATE, DELETE and INSERT.
- TCL: TCL refers to Transaction Control Language which organized the changes of others commands in database and commands that involved in TCL are COMMIT, ROLLBACK and SAVEPOINT.
- DCL: DCL is used for providing the security to database objects and it stands for Data Control Language. Two major commands of DCL are GRANT and REVOKE.
- System Control Statement: there are only one statement of system control is exists in SQL which are ALTER SYSTEM. It allows user to change the properties of the database instance such as session termination, and much more.
- Session Control Statement: it organized the properties of a user session. In the database instance memory, a session refers to an entity that resembles the state of current user who is login into a database. System Control Statement allow user to alter the current session by executing a function.
- Embedded SQL Statement: these statements permit users to perform various tasks such as fetching data from the database, assigning name to the variables, connecting with database and many more.
For processing the SQL statements, SQL used a systematic way which is termed as SQL processing. SQL processing mainly involves four stages which are as follows:
- SQL parsing: in this section, SQL pieces get separated in the data structure and these data structure can be processed by other patterns later. In this, when an application provides a SQL statement, application make a parse call to database for a specific purpose. Database performs the various tasks during the parsing call, including semantic check, shared pool check and syntax check.
- SQL Optimization: this section is termed as query optimization refers to a process of choosing the best way for executing a SQL statement.
- SQL Raw Generation: it takes the execution plan from the optimizer and generates an iterative plan, this plan is known as query plan.
- SQL execution: in this section, each row source gets executed by SQL engine.
Moreover, Optimizer generates the best way of processing a query in execution plan. To know about how Oracle database processes SQL statements, a user must know about the part of a database which is known as optimizer. It is used to determine the most efficient means of accessing the data. It involves mainly three components which are estimator, plan generator, Query transformer.
Some of the exceptional topics that involved in SQL are listed below:
- Advanced Subqueries
- Advanced Data Manipulation
- Analytical Functions
- Database Objects
- Data Dictionary Views
- Advanced Scripts
- Functions, Stored Procedures, Packages
- Cursors: Implicit and Explicit
- Dynamic SQL
- Hierarchical Queries
- Create files, logins and users
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- Controlling Schema Objects
- Hierarchical Retrieval
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Some of the homework help topics include:
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SQL Assignment includes:
- Discussion and visuals of data models how data are stored in Postgres(SQL), i.e. entity relationship schemes, vs. R, flat files or data frames.Unique identifiers, and primary vs. foreign keys,Questions we’ll ask: Will I need all the data (panel), or should I select certain segments of the data?
- Restoring a database in Postgres,,Basic SQL Procedures and Functions,Using commands: Select and Where, Like, Order By, And, Or,Using functions: Count, Avg, Sum,Using: group-by and having,Subqueries: In
- Copying tables to csv from SQL,Bringing SQL into R,Joins (Inner, Outer, and multiple joins) in SQL,Using the ODBC driver to run SQL queries in R.,Reading in csv files,Working in R,Joins vs merges?,Subsetting data and merging it back in,Data summary statistics,Basic Graph with Ggplot
Programming with PL/SQL