Data

/ˈdeɪ.tə ˈkwɒl.ɪ.ti/

noun — “the moral compass of your datasets, keeping them honest, consistent, and reliable.”

/ˈdeɪ.tə ˌtræns.fərˈmeɪ.ʃən/

noun — “turning messy data pumpkins into clean, shiny carriages ready for analytics and reporting.”

/ˈdeɪ.tə ˌvæl.ɪˈdeɪ.ʃən/

noun — “the bouncer of your dataset, making sure only the worthy data gets in.”

/ˈdeɪ.tə ˈkliː.nɪŋ/

noun — “the digital equivalent of tidying your desk before actually getting any work done.”

/ˌnɔːr.mə.lɪˈzeɪ.ʃən/

noun — “the methodical folding, flattening, and tidying of data so it behaves itself.”

/kəˈnɒn.ɪ.kəl/

adjective — “the official uniform of a dataset or expression — neat, standardized, and ready for inspection.”

/ɑːrɡ/

noun — “the tiny rebel in your command line that changes how programs behave.”

Arg, short for argument, in programming and command-line contexts, represents input values or options passed to a program, function, or script to modify its behavior or provide necessary data. For example, in a Unix-like shell, running grep "hello" file.txt passes hello and file.txt as Args to the grep command, telling it what to search for and where.

/ˈprəʊ.sɛs kənˈtrəʊl blɒk/

noun — “the backstage pass that lets the OS keep tabs on every running process.”

Process Control Block (PCB) is a data structure used by an operating system to store all the critical information about a specific process. Think of it as the OS’s personal notebook for each process, containing everything it needs to schedule, manage, and track the execution of that process safely and efficiently.

/ˈdeɪ.tə ɪnˈtɛɡ.rɪ.ti/

noun — "because corrupted data is like ordering pizza and getting a salad instead."

Data Integrity is the assurance that information is accurate, consistent, and reliable over its lifecycle. It guarantees that data remains unaltered during storage, transmission, or processing unless explicitly modified through authorized operations. Maintaining Data Integrity is crucial for trust in IT systems, whether in databases, file systems, cloud services, or communication networks.

/ˌæn.əˈlɪt.ɪks/

noun — "turning piles of data into excuses for decisions."

Analytics in information technology is the systematic examination of data to discover patterns, draw conclusions, and support decision-making. It includes statistical analysis, predictive modeling, and data visualization to extract actionable insights from raw or processed data.

Technically, Analytics involves: