SQL Courses Online

About

Structured Query Language is programming language for management and use of relational databases It is a declarative programming language. Structured Query Language follows a programming paradigm of declarative programming.

Content

• History
• Syntax
• Procedural extensions
• Interoperability and standardization
  • Overview
  • Reasons for incompatibility
  • Standardization history
  • Current standard
• Alternatives
• Distributed SQL processing
• Criticisms
  • Design
  • Other criticisms
• Data Integrity Categories
  • Entity integrity
  • Domain integrity
  • Referential integrity
  • User-defined integrity
• SQL data types
  • Predefined data types
  • Constructed types

About

MySQL is an open-source relational database management system (RDBMS). Its name is a combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL", the abbreviation for Structured Query Language. A relational database organizes data into one or more data tables in which data types may be related to each other; these relations help structure the data. SQL is a language programmers use to create, modify and extract data from the relational database, as well as control user access to the database. 

Contents

• 1 MODULE 1
  • 1.1 MySQL history
  • 1.2 Release Background
  • 1.3 Release Background, continued
  • 1.4 MySQL Products
  • 1.5 Third-party tools
  • 1.6 MySQL Server Installation
  • 1.7 Installing in Ubuntu
  • 1.8 Starting and stopping server
  • 1.9 What is where
  • 1.10 Hardware and MySQL
  • 1.11 MySQL and Platform
  • 1.12 MySQL and OS
  • 1.13 MySQL Storage Engines
  • 1.14 MySQL Storage Engines
  • 1.15 MyISAM vs. InnoDB
  • 1.16 MySQL Server Files and Scripts
  • 1.17 MySQL Programs
  • 1.18 MySQL Programs
  • 1.19 Ways of starting a server
  • 1.20 Stopping MySQL Server
  • 1.21 Changing Forgotten Password
  • 1.22 Changing Forgotten Password
  • 1.23 Running Scripts
  • 1.24 Using Client Tools
• 2 MODULE 2
  • 2.1 MariaDB Server Configuration
  • 2.2 mysqld server options
  • 2.3 Passing options to MariaDB server
  • 2.4 Checking variable value
  • 2.5 Parameters Formats
  • 2.6 Restricting maximum value of a variable
  • 2.7 Server Options for Loading Plugins
  • 2.8 System Variables
  • 2.9 Session System Variables
  • 2.10 Server Status Variables
  • 2.11 Local (non system) Variables
  • 2.12 Using Local Variables to replace subqueries
  • 2.13 Select into variable
  • 2.14 Server SQL Modes
  • 2.15 The Shutdown Process
• 3 MODULE 3
  • 3.1 MySQL Security Issues
  • 3.2 General Security Guidelines
  • 3.3 Security Guidelines
  • 3.4 Security Issues with LOAD DATA LOCAL
  • 3.5 Memory Configuration

About

A NoSQL (initially alluding to "non-SQL" or "non-social" information base gives a system to capacity and recovery of information that is displayed in methods other than the even relations utilized in social information bases. Such information bases have existed since the last part of the 1960s, however, the name "NoSQL" was just authored in the mid 21st century, triggered by the requirements of Web 2.0 organizations. NoSQL information bases are progressively utilized in enormous information and constant web applications. NoSQL frameworks are additionally here and there called "Not just SQL" to stress that they may uphold SQL-like inquiry dialects or sit close by SQL information bases in bilingual industrious structures. 

Motivations for this approach include: simplicity of design, simpler "horizontal" scaling to clusters of machines (which is a problem for relational databases), finer control over availability and limiting the object-relational impedance mismatch. The data structures used by NoSQL databases (e.g. key–value pair, wide column, graph, or document) are different from those used by default in relational databases, making some operations faster in NoSQL. The particular suitability of a given NoSQL database depends on the problem it must solve. Sometimes the data structures used by NoSQL databases are also viewed as "more flexible" than relational database tables.

Content

• Features of  NoSQL 
• NoSQL Terminologies
• Advantage and disadvantages of NoSQL
• NoSQL data models
• Popular NoSQL databases
• Coding with specific to data models and NoSQL

About

Structured Query Language (SQL) is a programming language for the management and use of relational databases. 

Content

• Overview
• Syntax
• Procedural extensions
• Interoperability and standardization
  • Reasons for incompatibility
  • Standardization history
  • Current standard
• Alternatives
• Distributed SQL processing
• Data Integrity Categories
  • Entity integrity
  • Domain integrity
  • Referential integrity
  • User-defined integrity
• SQL data types
  • Predefined data types
  • Constructed types

About

Advanced MySQL 8 instructs you to improve your present database establishment and to gather various tools to improve your undertaking applications and by and large site execution. The course starts with the new features and invigorating MySQL 8.0 and how to use them for the best capability. By offering you through the parts, you will sort out some way to update MySQL execution using record data and advanced data request techniques for colossal inquiries. You will similarly discover the MySQL Server 8.0 settings and work with MySQL reports word reference to construct your introduction data base. In the last parts, you will cover the MySQL 8.0 Group Replication, which will allow you to make adaptable, profoundly open, and inadequate merciful replication geologies. You will in like manner develop fortification and recovery procedures for your databases and fuse critical clues and stuff to help your fundamental data with achieving its most extreme limit.

Content

• Overview of MySQL 8.0
• Large MySQL queries
• MySQL Server 8.0 settings
• InnDB cluster
• Large databases
• Backups and recovery

About

PostgreSQL (or Postgres for short) is an open source relational database management systems (RDBMS). In nearly all cases the main application interface to an RDBMS is SQL, the standardized language for accessing relational databases. Beyond SQL every RDBMS needs additional tools to handle the installation process as well as maintenance and optimization tasks. As such tasks act closely to the implementation of each RDBMS, they greatly differ from RDBMS to RDBMS - unlike SQL. The purpose of This course is an introduction to the PostgreSQL specific aspects: its architecture, installing procedure, maintenance and optimization tasks. Thus it is primarily aimed to database administrators. But it is only a starting point in these objectives and many topics are omitted. For a complete treatment we recommend to get through professional training courses offered by many consulting companies. And don't forget: there is a great and complete documentation of all the stuff we try to explain in the Wikibook on hand. Additionally some special topics are summarized in the PostgreSQL wiki. The SQL interface is out of the scope of the Wikibook on hand. If you are interested in this specific topic, you may want to refer to the Wikibook SQL, which describes the SQL standard independent from any RDBMS implementation. It's a good starting point for PostgreSQL as its implementation of SQL is very close to the standard. The Wikibook on hand is based on PostgreSQL version 10.

Content

• Introduction to PostgreSQL
• Features
• Featured Platforms
• Download, Installation, First Steps
• Glossary / Prominent Terms
• Architecture
• Managing the Instance
• Configuration
• Multiversion Concurrency Control (MVCC) and Vacuum
• Write-Ahead-Log files (WAL)

About

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.

Content

• Introduction
• Understand the conditions
• Play with tables
• Work with functions

About

PowerShell is cross-platform command-line interface and scripting language for system and network administration It is a command-line interface language. PowerShell is mainly influenced by Perl, AS/400 Control Language, and Python. PowerShell follows a programming paradigm of imperative programming, object-oriented programming, and functional programming. PowerShell is developed by Microsoft is designed by Jeffrey SnoverSupported by Microsoft Windows, Windows Server and Ubuntu Operating Systems.

PowerShell provides full access to COM and WMI, enabling administrators to perform administrative tasks on both local and remote Windows systems as well as WS-Management and CIM enabling management of remote Linux systems and network devices. PowerShell also provides a hosting API with which the PowerShell runtime can be embedded inside other applications. These applications can then use PowerShell functionality to implement certain operations, including those exposed via the graphical interface. This capability has been used by Microsoft Exchange Server 2007 to expose its management functionality as PowerShell cmdlets and providers and implement the graphical management tools as PowerShell hosts which invoke the necessary cmdlets. Other Microsoft applications including Microsoft SQL Server 2008 also expose their management interface via PowerShell cmdlets.

Content

• Introduction
• Design
  • Cmdlets
  • Pipeline
  • Scripting
  • Hosting
• Desired State Configuration
• Versions
  • Windows PowerShell 1.0
  • Windows PowerShell 2.0
  • Windows PowerShell 3.0
  • Windows PowerShell 4.0
  • Windows PowerShell 5.0
  • Windows PowerShell 5.1
  • PowerShell Core 6
  • PowerShell 7
• Comparison of cmdlets with similar commands
• Filename extensions
• Application support
• Alternative implementation

About

Core Data is an object graph and persistence framework provided by Apple in the macOS and iOS operating systems. It was introduced in Mac OS X 10.4 Tiger and iOS with iPhone SDK 3.0. It allows data organized by the relational entity–attribute model to be serialized into XML, binary, or SQLite stores. The data can be manipulated using higher-level objects representing entities and their relationships. Core Data manages the serialized version, providing object lifecycle and object graph management, including persistence. Core Data interfaces directly with SQLite, insulating the developer from the underlying SQL.

Core Data describes data with a high-level data model expressed in terms of entities and their relationships plus fetch requests that retrieve entities meeting specific criteria. Code can retrieve and manipulate this data on a purely object level without having to worry about the details of storage and retrieval. The controller objects available in Interface Builder can retrieve and manipulate these entities directly. When combined with Cocoa bindings the UI can display many components of the data model without needing background code.

Content

• Features and Usage
• Storage formats

About

PostgreSQL is a Free and open-source relational database management system, It is a relational database management system. PostgreSQL is mainly influenced by Ingres.

PostgreSQL manages concurrency through multi-version concurrency control (MVCC), which gives each transaction a "snapshot" of the database, allowing changes to be made without affecting other transactions. This largely eliminates the need for reading locks and ensures the database maintains ACID principles. PostgreSQL offers three levels of transaction isolation: Read Committed, Repeatable Read, and Serializable. Because PostgreSQL is immune to dirty reads, requesting a Read Uncommitted transaction isolation level provides read committed instead. PostgreSQL supports full serializability via the serializable snapshot isolation (SSI) method.

PostgreSQL includes built-in binary replication based on shipping the changes (write-ahead logs (WAL)) to replica nodes asynchronously, with the ability to run read-only queries against these replicated nodes. This allows splitting read traffic among multiple nodes efficiently. Earlier replication software that allowed similar read scaling normally relied on adding replication triggers to the master, increasing load.

PostgreSQL includes built-in synchronous replication that ensures that, for each write transaction, the master waits until at least one replica node has written the data to its transaction log. Unlike other database systems, the durability of a transaction (whether it is asynchronous or synchronous) can be specified per-database, per-user, per-session, or even per-transaction. This can be useful for workloads that do not require such guarantees and may not be wanted for all data as it slows down performance due to the requirement of the confirmation of the transaction reaching the synchronous standby.

Content

• Advanced features of PostgreSQL 10
• Indexing features in PostgreSQL
• Stored procedures and backup and recovery management
• Replication and Failover
• Troubleshooting
• Database migration from various sources

About

DBeaver is a SQL client software application and a database administration tool. For relational databases it uses the JDBC application programming interface (API) to interact with databases via a JDBC driver. For other databases (NoSQL) it uses proprietary database drivers. It provides an editor that supports code completion and syntax highlighting. It provides a plugin architecture (based on the Eclipse plugins architecture) that allows users to modify much of the application's behavior to provide database-specific functionality or features that are database-independent. This is a desktop application written in Java and based on Eclipse platform.

Content

• Overview
• Supported platforms and languages
• Versions
  • Community Edition
  • Eclipse Plugin Edition
  • Enterprise Edition
• Features