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thoughtworks.com
For low throughput data, Grab uses Parquet with Copy on Write (CoW) .
Here's the main operations for Copy on Write:
Here's the main operations for Copy on Write:
- Write Operations - Whenever there's a write, you create a new version of the file that includes the latest change. You can also keep the previous version for consistency and rollback purposes. This helps prevent data corruption, incon
The Architecture of Grab's Data Lake
FastStream brokers provide convenient function decorators @broker.subscriber and @broker.publisher to allow you to delegate the actual process of:
These decorators make it easy to specify the processing logic for your consumers and producers, allowing you to ... See more
- consuming and producing data to Event queues, and
- decoding and encoding JSON encoded messages
These decorators make it easy to specify the processing logic for your consumers and producers, allowing you to ... See more
airtai • GitHub - airtai/faststream: FastStream is a powerful and easy-to-use Python framework for building asynchronous services that interact with event streams such as Apache Kafka and RabbitMQ.
SwiftData Updates - Part 1: Mock JSON Data and PreviewModifier
SwiftData Updates - Part 1: Mock JSON Data and PreviewModifier
HL7 serial to TCP/IP conversion
