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Brief description on SIEM (Security Information and Event Management)

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SIEM (Security Information and Event Management) tools are specialized software solutions that collect, analyze, and manage vast amounts of security data. They help security teams identify, investigate, and respond to security threats by monitoring events across an organization's network and systems.   Key Features and Functions: Data Collection and Aggregation: SIEM tools gather log data, events, and other security-related information from various sources within the organization, such as firewalls, intrusion detection systems, servers, and applications.  Real-time Monitoring and Analysis: They provide real-time visibility into security events and patterns, enabling security teams to quickly detect and respond to potential threats.  Threat Detection and Alerting: SIEM solutions use rules and algorithms to identify suspicious activities and generate alerts, notifying security teams about potential security breaches.  Incident Investigation and ...

Cloud computing Concepts and Fundamentals

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Past: Origins and Early Development 1960s–1990s: Concepts: Introduced as time-sharing and virtual machines (mainframe era). Grid Computing: Emerged to allow distributed computing power. Client-server model: Gained popularity in the 1990s with the growth of the internet. Early 2000s: Infrastructure as a Service (IaaS): Amazon Web Services (AWS) launched in 2006. Software as a Service (SaaS): Salesforce (1999) pioneered cloud-hosted software delivery. --- Present: Mainstream Adoption and Innovation Key Models: IaaS, PaaS, SaaS widely adopted. Hybrid and Multi-cloud architectures in use. Technologies: Kubernetes & Containers: Enable scalable and portable applications. Serverless computing: Developers run code without managing servers. AI & ML in the cloud: Cloud platforms provide powerful AI tools and training infrastructure. Security & Compliance: Focus on Zero Trust models, encryption, and data governance. Top Providers: AWS, Microsoft Azure, Google C...

SQL Server Database Administration(SQL SEVER DBA)

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->SQL Server administration encompasses a broad range of tasks, including database design, security, performance tuning, backup and recovery, and monitoring, all aimed at ensuring efficient and reliable database operation.  Here's a summary of key SQL Server administration topics: Core Administration Tasks: Database Design and Management: Creating and Managing Databases: Defining database structures, tables, and relationships.  Database Design Principles: Understanding normalization, indexing, and schema design for optimal performance and maintainability.  Security: User Management: Creating and managing user accounts, roles, and permissions.  Data Encryption: Implementing encryption to protect sensitive data.  Performance Tuning: Query Optimization: Identifying and resolving performance bottlenecks in SQL queries.  Indexing: Implementing indexes to improve query performance.  Resource Management: Monitoring and...

Git & Git Hub Glossary (Terminologies)

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GitHub is a web-based platform that provides hosting for version control and collaboration. It allows multiple people to work together on projects from anywhere in the world. Here are some common terminologies associated with GitHub: - **@mention**: To notify a person on GitHub by using `@` before their username¹. - **Access token**: A token used in place of a password when performing Git operations over HTTPS with Git on the command line or the API¹. - **Branch**: A parallel version of a repository that does not affect the primary or main branch, allowing you to work freely without disrupting the "live" version¹. - **Commit**: A record of changes made to a repository. A commit includes a commit message that describes what changes were made¹. - **Fork**: A personal copy of another user's repository that's independent of the original repository¹. - **Issue**: A way to track enhancements, tasks, or ...

Terminologies in PowerBI (Business Intelligence)

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Terminologies POWER BI ( BUSINESS INTELLIGENCE) Power BI, a business intelligence tool by Microsoft, has its own set of lingo. Here's a breakdown of some common Power BI terminologies: Data Acquisition and Transformation:   1.Data Source: Where your data comes from, like a database or Excel sheet.   2.Data Transformation (ETL): Cleaning and structuring your data for analysis.   3.Data Gateway: Connects your on-premises data to Power BI for cloud access. Report Building and Sharing:   1.Publish : Sharing reports and dashboards in the Power BI Service (cloud-based platform).   2.App Workspace: A collaborative space to share and develop reports. Data Model:   1.Dimension Table: Contains descriptive data (categories), often linked to a fact table.   2.Fact Table: Stores numerical data for analysis, usually linked to dimension tables.   3.Relationships: Connections between tables based on common fiel...

About SQL(Structure English Query Language) and it's terms

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SQL, or Structured Query Language, is a powerful programming language used for managing and manipulating relational databases. Here's an overview of its key components and capabilities: 1 . ** Data Querying **: SQL allows users to retrieve data from databases using SELECT statements. These statements can specify which columns to retrieve, filter data based on conditions, sort results, and perform calculations. 2 . ** Data Manipulation **: SQL supports INSERT, UPDATE, and DELETE statements for adding, modifying, and removing data from database tables. 3.  ** Data Definition **: SQL enables users to define the structure of a database using CREATE, ALTER, and DROP statements. These statements are used to create and modify database schemas, tables, indexes, and constraints. 4. ** Data Control **: SQL provides statements for managing access to database objects. Users can grant or revoke privileges such as SELECT, INSERT, UPDATE, DELETE, and EXECUTE to control wh...

Network Protocols

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Network Protocols - to learn more about endpoint security. Defination  :- Network Protocols are set of rules that outlining how connected devices communicate across a network to exchange information easily and safely. Protocols serve as a common language for devices to enable communication difference in software, hardware or internal processes.