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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...

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 - 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. 

There are many ways to classify databases based on different criteria, such as the model, location, design, hosting, and processing of the data. Here is a brief overview of some common types of databases: - ** Relational databases ** store data in tables, rows, and columns, and use SQL to query and manipulate the data. They are widely used for online transactions, data warehouses, IoT, and other applications that require ACID compliance, data integrity, and security. Some examples of relational databases are MySQL, Oracle, PostgreSQL, and SQL Server¹². - ** Non-relational databases ** (also known as NoSQL databases) store data in various formats, such as key-value pairs, documents, graphs, or columns. They are designed to handle large volumes of unstructured or semi-structured data, and offer more flexibility, scalability, and performance than relational databases. Some examples of non-relational databases are MongoDB, Cassandra, Redis, and Neo4j¹². - ** Object-oriented dat...

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