Microsoft Launches Drasi, An Event-Driven Platform For Data Processing
The Microsoft Azure Incubations team recently unveiled Drasi, an innovative event-driven, open-source data 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.
Read the entire article at?Forbes
Janakiram MSV?is an analyst, advisor, and architect. Follow him on?Twitter,??Facebook?and?LinkedIn.
AVP- Site Reliability Engineering (Cloud Platforms and Tools) at Broadridge
5 个月Couple of decades ago, when I was working on a NoSql system, we built a PoC that’s capable of reverse searching. Though an interesting solution that provides an alerting mechanism when new data or an updated data matches a pre registered query, it struggled at scale. Thrilled to see the same now getting on to databases at scale. Specially in this era of genAI, can think of interesting use cases, where dynamic context building for LLMs would definitely come handy. Thanks for bringing such interesting breakthroughs, Janakiram MSV ????