Microsoft Launches Drasi, An Event-Driven Platform For Data Processing [Forbes]
MongoDB, Inc. - Class A (MDB)
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Source: Forbes
processing system that takes a novel approach to tracking and processing rapidly changing data. To track and process rapidly changing data, developers frequently poll the database to respond to changes. For example, when multiple temperature sensors' telemetry data is ingested into a time-series database, a query must be run on a regular basis to track it. Similarly, an e-commerce application may need to trigger an event when a large transaction occurs. To track changes in both scenarios, the original database source must be polled on a regular basis. This puts additional strain on the database, which is already under stress from the frontend application's intensive read/write operations. Drasi takes a different approach to data collection by monitoring the logs generated by the database system. Every operation on a table, such as an insert, update, or delete, generates a log entry that is stored externally. Rather than querying the source, Drasi tracks changes using database logs
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- 12/18/24 - Form 4
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