How to Safely Store your Data in the Cloud make money online

How to Safely Store your Data in the Cloud What exactly is the cloud? It is basically the collection of  computers on the internet that companies are using to offer their services. One cloud service that is being offered is a revolutionary storage method for your data. From music files to pictures to sensitive documents, the cloud invisibly backs up your files and folders and alleviates the potentially endless and costly search for extra storage space.  An alternative to buying an external hard drive or deleting old files to make room for new ones, cloud storage is convenient and cost-effective. It works by storing your files on a server out in the internet somewhere rather than on your local hard drive. (For a more technical discussion of cloud computing basics, read more here.) This allows you to back up, sync, and access your data across multiple devices as long as they have internet capability. However, if you wish to store information virtually, you must conside…
Read more about How to Safely Store your Data in the Cloud make money online
  • 0

Describe the Multiplexing techniques for digital signal transmission | iiQ8

Describe the Multiplexing techniques for digital signal transmission | iiQ8   ✅ Describe the Multiplexing Techniques for Digital Signal Transmission Multiplexing is a technique used in digital signal transmission to combine multiple signals into one medium for efficient use of bandwidth. It helps in transmitting several data streams simultaneously over a single channel or link.   🔑 Main Multiplexing Techniques for Digital Signal Transmission:   Time Division Multiplexing (TDM) Definition: TDM divides the channel into time slots, and each signal gets the whole bandwidth but only during its specific time slot. Types: Synchronous TDM: Each source gets a fixed time slot whether it has data to send or not. Asynchronous/Statistical TDM: Slots are assigned dynamically based on demand. Example: Used in digital telephony systems. Frequency Division Multiplexing (FDM) Definition: The available bandwidth is div…
Read more about Describe the Multiplexing techniques for digital signal transmission | iiQ8
  • 0

Top 3 Essential Explain any three aggregate functions with examples | iiQ8

Explain any three aggregate functions with examples | iiQ8 Aggregate Functions are keywords in SQL used to manipulate values within columns for output purposes. A function is a command always used in conjunction with a column name or expression. There are several types of functions in SQL.  An aggregate function is used to provide summarization information for an SQL statement, such as counts, totals, and averages. Here are three commonly used aggregate functions in SQL, along with simple explanations and examples:   🔹 1. COUNT() Purpose: Returns the number of rows that match a specified condition. Example: SELECT COUNT(*) AS total_employees FROM employees; Explanation: This query returns the total number of rows in the employees table. 🔹 2. SUM() Purpose: Returns the sum of values in a numeric column. Example: SELECT SUM(salary) AS total_salary FROM employees WHERE department = 'Sales'; Explanation: This query return…
Read more about Top 3 Essential Explain any three aggregate functions with examples | iiQ8
  • 0

Explain embedded SQL

Explain embedded SQL.   Embedded SQL is a method of inserting inline SQL statements or queries into the code of a programming language, which is known as a host language.    Because the host language cannot parse SQL, the inserted SQL is parsed by an embedded SQL preprocessor.   Embedded SQL is a robust and convenient method of combining the computing power of a programming language with SQL's specialized data management and manipulation capabilities.  
Read more about Explain embedded SQL
  • 0

Explain Database architecture: A Complete Overview iiQ8

Explain Database architecture: A Complete Overview   Database Architecture: A Complete Overview Database architecture refers to the design, structure, and organization of a database system. It defines how data is stored, managed, accessed, and processed within a database environment. Understanding database architecture is essential for students, developers, DBAs, and IT professionals as it forms the backbone of any data-driven application.   ✅ What is Database Architecture? Database architecture is a framework that outlines how users, applications, and the database interact with each other. It includes various components such as: Database Engine Storage System Query Processor Users and Interfaces Middleware The architecture determines how efficiently data is processed, how secure it is, and how scalable and reliable the system will be. 🧱 Types of Database Architecture Single-Tier Architecture (1-Tier) The use…
Read more about Explain Database architecture: A Complete Overview iiQ8
  • 0

Explain ACID Properties with 30 Common Interview Q&As

Explain ACID Properties with 30 Common Interview Q&As   The ACID properties are a set of principles that guarantee reliable processing of database transactions. Explain ACID Properties These properties ensure data integrity, especially in systems where multiple transactions occur simultaneously (like in banking, e-commerce, etc.). Here’s a breakdown of each ACID property: 🔹 A — Atomicity Definition: A transaction is all-or-nothing. If any part of the transaction fails, the entire transaction fails and the database is rolled back to its original state. Example: If you transfer money from Account A to Account B, both the debit and the credit must occur. If the credit fails, the debit is undone.   🔹 C — Consistency Definition: A transaction must bring the database from one valid state to another. It ensures that all data integrity rules and constraints (like foreign keys, unique constraints) are maintained. Example: If a rule r…
Read more about Explain ACID Properties with 30 Common Interview Q&As
  • 0

Explain normalization in Database

Explain normalization.       Explain normalization.   In creating a database, normalization is the process of organizing it into tables in such a way that the results of using the database are always unambiguous and as intended. Normalization may have the effect of duplicating data within the database and often results in the creation of additional tables. (While normalization tends to increase the duplication of data, it does not introduce redundancy, which is unnecessary duplication.) Normalization is typically a refinement process after the initial exercise of identifying the data objects that should be in the database, identifying their relationships, and defining the tables required and the columns within each table.   First normal form (1NF). This is the "basic" level of normalization and generally corresponds to the definition of any database, namely:   It contains two-dimensional tables with rows and columns.   Each column corresponds to a sub-object or a…
Read more about Explain normalization in Database
  • 0

Define XML and explain the structure of XML

Define XML and explain the structure of XML.       Define XML and explain the structure of XML.     XML stands for extensible markup language. XML was developed around 1996 and is a subset of SGML. It's documents conform to SGML. XML was made less complicated than SGML to enable its use on the web. XML uses the ISO 10646 (Unicode) standard for encoding characters.   XML Structure   This page provides a description of XML structure including the document parts, the prologue, and provides a simple XML example document.   Document Parts   Prolog   Document Element (root element)   The Prologue : The prologue, equivalent to the header in HTML, may include the following:   An XML declaration (optional) such as: <?xml version="1.0"?> A DTD or reference to one (optional). An example reference to an external DTD file:   <!DOCTYPE LANGLIST SYSTEM "langlist.dtd">   Processing instructions - An example processing instruction that causes style to be…
Read more about Define XML and explain the structure of XML
  • 0

Explain Network and Relational data models

7. Explain Network and Relational data models.   Explain Network and Relational data models   The network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types are arcs, is not restricted to being a hierarchy or lattice. The relational model for database management is a database model based on first-order predicate logic, first formulated and proposed in 1969.  In the relational model of a database, all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.   In the relational model, related records are linked together with a "key".  The purpose of the relational model is to provide a declarative method for specifying data and queries: users directly state what information the database contain…
Read more about Explain Network and Relational data models
  • 0

Define deadlock with example

6. Define deadlock with example.   Define deadlock with example In a database, a deadlock is a situation that occurs when two or more different database sessions have some data locked, and each database session requests a lock on the data that another, different, session has already locked. Because the sessions are waiting for each other, nothing can get done, and the sessions just waste time instead. This scenario where nothing happens because of sessions waiting indefinitely for each other is known as deadlock. Database deadlock example:   Suppose we have two database sessions called A and B. Let’s say that session A requests and has a lock on some data – and let’s call the data Y. And then session B has a lock on some data that we will call Z. But now, lets say that session A needs a lock on data Z in order to run another SQL statement, but that lock is currently held by session B. And, let’s say that session B needs a lock on data Y, but that lock is…
Read more about Define deadlock with example
  • 0

Define RDBMS with example

4. Define RDBMS with example.     Define RDBMS with example RDBMS is the abbreviated form of Relational Data Base Management System.  A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as invented by E. F. Codd, of IBM's San Jose Research Laboratory. Many popular databases currently in use are based on the relational database model. RDBMSs have become a predominant choice for the storage of information in new databases used for financial records, manufacturing and logistical information, personnel data, and much more since the 1980s. Relational databases have often replaced legacy hierarchical databases and network databases because they are easier to understand and use. However, relational databases have been challenged by object databases, which were introduced in an attempt to address the object-relational impedance mismatch in relational database, and XML databases.   …
Read more about Define RDBMS with example
  • 0

Explain About Triggers | Database Management Systems (DBMS) | Very Important FAQs | iiQ8 Technology

Explain About Triggers | Database Management Systems (DBMS) | iiQ8 Technology   Explain About Triggers | Database Management Systems (DBMS) | iiQ8 Technology Explain about triggers. Explain about triggers | Triggers in Database Management Systems (DBMS) Introduction In modern database systems, maintaining data accuracy, consistency, and security is extremely important. One of the most powerful tools used to automate database operations and enforce rules is the database trigger. Triggers help databases respond automatically to certain events without requiring manual intervention or additional application code. A database trigger is a set of stored instructions (procedural code) that is automatically executed by the database management system when a specified event occurs on a particular table or view. These events usually involve data manipulation operations such as inserting, updating, or deleting records. Triggers play a crucial role in ensuri…
Read more about Explain About Triggers | Database Management Systems (DBMS) | Very Important FAQs | iiQ8 Technology
  • 0

Define instances and schemas

3. Define instances and schemas.   Define instances and schemas In DBMS, Instance is the information stored in the Database at a particular moment. Schema is the overall Design of the Database. In programming, we declare a variable which corresponds to "Schema". But its values changes as and when required which corresponds to "Instance".     Physical Schema describes database design at physical level while a logical schema describes the database design at the logical level. A database may also have several schemas at the view level, sometimes called subschemas, that describe different views of the database.
Read more about Define instances and schemas
  • 0

Explain Database users

Explain Database users.       Database Users   Database administrators – DBA is responsible for authorizing access to the database, for coordinating and monitoring its use, and acquiring software and hardware resources as needed.   (adsbygoogle = window.adsbygoogle || []).push({}); Database designers – identify data to be stored in the database and choosing appropriate structures to represent and store the data.  Most of these functions are done before the database is implemented and populated with the data.  It is the responsibility of the database designers to communicate with all prospective users to understand their requirements and come up with a design that meets these requirements.  Database designers interact with all potential users and develop views of the database that meet the data and processing requirements of these groups.  The final database must support the requirements of all user groups.   End Users   Casual End Users – occasionally …
Read more about Explain Database users
  • 0

Explain the three levels in data abstraction

Explain the three levels in data abstraction.       Explain the three levels in data abstraction. Three levels of data abstraction are: 1. Physical level : How the data is stored physically and where it is stored in database. 2. Logical level: What information or data is stored in the database (like what is the data type or what is format of data. 3. View level: End users work on view level. If any amendment is made it can be saved by other name. For the database to be usable it must retrieve data efficiently. This efficiency led designer to use complex data structure in the database.
Read more about Explain the three levels in data abstraction
  • 0