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Data reads and writes in many data analytics workflows are guided by the RUM conjecture (Read, Update, Memory (or storage) overhead) [7] that characterizes the challenge of reducing overhead data being read, updated and stored (in memory, cache or disk).
Using the same URI, but different HTTP methods (i.e. POST, GET, and UPDATE), resources can be created, read, updated, and deleted in "CRUD" style.
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Thus, rewriting some data requires an already used portion of flash to be read, updated and written to a new location, together with initially erasing the new location if it was previously used at some point in time; due to the way flash works, much larger portions of flash must be erased and rewritten than actually required by the amount of new data.
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RQ1: Create, read, update.
Create, read, update and delete.
With an update service, the CRUD operations of create, read, update, and delete are implemented.
It provides methods for create, read, update and delete (CRUD) operations.
Below, we summarise how we address the individual research questions introduced in Section 3: RQ1: Create, read, update.
We benchmarked the main operations of write/insert, read, update and a set of six distinct search queries on MongoDB.
In this definition, a query is a typical CRUD (create, read, update, or delete) SQL query for an ERP system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com