A (7) | B (6) | C (12) | D (9) | E (1) | F (6) | G (2) | H (3) | I (4) | K (1) | L (3) | M (7) | N (3) | O (1) | P (2) | Q (1) | R (1) | S (8) | T (2) | V (3) | W (2)

Serverless

Serverless computing is a cloud computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. [Source: Wikipedia]

Speech

Speech recognition is an interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). [Source: Wikipedia]

Spot pricing

Cloud consumers bid on spare resources and employ them whenever the bid exceeds the current spot price, while the employed service will be interrupted when the spot price exceeds the current bid. [Source: Li, et. al.]

SSD

A storage device containing nonvolatile flash memory, used in place of a hard disk because of its much greater speed. [Source: Lexico]

Storage

Cloud storage is a service model in which data is transmitted and stored on remote storage systems, where it is maintained, managed, backed up and made available to users over a network (typically the internet). [Source: TechTarget]

Storage Optimized

Storage optimized instances are designed for workloads that require high, sequential read and write access to very large data sets on local storage. They are optimized to deliver tens of thousands of low-latency, random I/O operations per second (IOPS) to applications. [Source: AWS]

Stream Data Ingest

Data ingestion is the transportation of data from assorted sources to a storage medium where it can be accessed, used, and analyzed by an organization. The destination is typically a data warehouse, data mart, database, or a document store. [Source: Stitch]

Stream Data Processing

Stream Processing is a Big data technology. It is used to query continuous data stream and detect conditions, quickly, within a small time period from the time of receiving the data. The detection time period varies from few milliseconds to minutes. [Source: Medium]