DynamoDB
/daɪˈnæmoʊ diː biː/
n. — "AWS serverless key-value firehose mocking MongoDB's document bloat."
MongoDB
/ˈmɒŋɡoʊ diː biː/
n. — "NoSQL dumpster storing JSON blobs without schema nagging."
MongoDB is document-oriented NoSQL database using BSON (Binary JSON) format to store schema-less collections of records, grouping related documents without rigid table schemas or foreign key joins. Unlike SQL RDBMS, MongoDB embeds related data within single documents or references via ObjectIDs, supporting ad-hoc queries, horizontal sharding across replica sets, and MapReduce aggregation pipelines.
Cyclic Redundancy Check
/ˌsiː-ɑːr-ˈsiː/
n. “The digital fingerprint that checks your data for errors.”
CRC, short for Cyclic Redundancy Check, is an error-detecting code used in digital networks and storage devices to detect accidental changes to raw data. By applying a mathematical algorithm to the data, CRC generates a fixed-size checksum (also called a CRC value) that can be used to verify data integrity during transmission or storage.
Key characteristics of CRC include:
Protocol-Buffers
/ˈproʊtəˌkɒl ˈbʌfərz/
n. “The compact language for talking to machines.”
Protocol Buffers, often abbreviated as Protobuf, is a language- and platform-neutral mechanism for serializing structured data, developed by Google. It allows developers to define data structures in a .proto file, which can then be compiled into code for multiple programming languages. This provides a fast, efficient, and strongly-typed way for systems to communicate or store data.
Key characteristics of Protocol Buffers include:
CSV
/ˌsiː-ɛs-ˈviː/
n. “Plain text pretending to be a spreadsheet.”
CSV, or Comma-Separated Values, is a simple text-based file format used to store tabular data. Each line represents a row, and each value within that row is separated by a delimiter — most commonly a comma. Despite its minimalism, CSV is one of the most widely used data interchange formats in computing.
ETL
/ˈiː-tiː-ɛl/
n. “Move it. Clean it. Make it useful.”
ETL, short for Extract, Transform, Load, is a data integration pattern used to move information from one or more source systems into a destination system where it can be analyzed, reported on, or stored long-term. It is the quiet machinery behind dashboards, analytics platforms, and decision-making pipelines that pretend data simply “shows up.”
React-Query
/riˈækt ˈkwɛri/
n. “Data fetching without the drama.”
React Query is a data-fetching and state synchronization library for React applications. It simplifies the management of server state — that is, data that lives on a backend API or database — and keeps it in sync with the UI without the need for complex Redux setups or manual caching.
Excel
/ˈɛk.səl/
n. “Numbers, tables, and logic — tamed in cells.”
Excel, whether the classic desktop version from Microsoft or the cloud-based Google variant often called Google Sheets, is a spreadsheet application designed to organize, calculate, and visualize data. It turns rows and columns into a playground for formulas, charts, and structured analysis, allowing humans to impose order on numeric chaos.