Coding Data Schemas Definition Systems 
Engineering at Meta
OCTOBER 17, 2023
Systematic Code and Asset Removal Framework (SCARF) is Meta’s unused code and data deletion framework. So, how did we efficiently and safely remove all of the code and data related to Moments without adversely affecting Meta’s other products and services?
Towards Data Science
MAY 11, 2023
Sharvit deconstructs the elements of complexity that sometimes seems inevitable with OOP and summarizes the main principles of DOP that helps us make the system more manageable. As its name suggests, DOP puts data first and foremost. This can be achieved by adhering to four main principles. These principles are language-agnostic.
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ProjectPro
FEBRUARY 8, 2023
Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift.
Monte Carlo
FEBRUARY 26, 2024
It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. Alation’s Open Data Quality Initiative allows smooth data sharing between sources. Atlan Atlan data catalog.
Towards Data Science
FEBRUARY 15, 2023
In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. The data became useless. data:/data -./src:/src Legend says, that this didn’t go well.
Tweag
FEBRUARY 22, 2023
I talked about how to write modular and customizable configuration using Nickel’s merging system. If users are developers, this can be achieved using infrastructure as code as well, with adapted restrictions. Adam introduced the notion of “infrastructure as a model”, instead of code, to which code would only be one possible interface.
Striim
NOVEMBER 8, 2023
The Data Mesh architecture is based on four core principles: scalability, resilience, elasticity, and autonomy. Data mesh technology also employs event-driven architectures and APIs to facilitate the exchange of data between different systems.
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