Documentation

A data pipeline is a set of processes that extract data from various sources, transform the data into a format suitable for analysis, and load the data into a destination database or data warehouse. The pipeline can be automated and scheduled to run at regular intervals, ensuring that the data is always up-to-date. Data pipelines are essential for organizations that need to process large amounts of data quickly and efficiently. They can be used for a variety of purposes, such as data migration, data integration, and data warehousing. A well-designed data pipeline can help organizations make better decisions by providing them with accurate and timely data.

Your Previous Searches

Random Picks

Object-oriented: Object-oriented refers to a programming paradigm that is based on the concept of objects, which can contain data and code to manipulate that data. In object-oriented programming, objects are instances of classes, which define the properties ... Read More >>
Remote Procedure Call: Remote Procedure Call (RPC) is a protocol that allows a computer program to execute a subroutine or procedure on a remote server without having to understand the network's details. RPC is a client-server model that uses a request-response m ... Read More >>
Communication Systems: Communication Systems refer to the collection of hardware, software, and protocols that enable the exchange of information between two or more devices or entities. In the context of Data Science and Artificial Intelligence, communication sy ... Read More >>

Documentation

Your Previous Searches

Random Picks

Top News

The 10 most exciting AI agent startups at Y Combinator's Demo Day for its first-...

I've repaired medical equipment for over 30 years. My son is in the field now, a...

Medical equipment repair is a fast-growing healthcare career. The average salary...

Video game actors’ strike ends after tentative deal is reached...

Nvidia chief calls AI 'the greatest equalizer' but warns Europe risks falling be...