AvitalTrifsik

5 ms·

1. 1.▲
   by AvitalTrifsik 4y ago

   Batch processing extracts the data at a specific time and then applies transformations on it. The differences in schemas of incoming data sources during processing aren’t that significant and can be resolved in a data pipeline. Batch data p
2. 2.▲
   What Are the Basics of Event Stream Processing?

   2 points by AvitalTrifsik 4y ago|0 comments
3. 3.▲
   Event Streams: An Overview

   1 points by AvitalTrifsik 4y ago|0 comments
4. 4.▲
   by AvitalTrifsik 4y ago

   Building a data warehouse offers several benefits to an organization: 1.Data Consistency: It creates a standard for data format across the company. This makes it easier for employees to integrate it into their business use case. 2. Single P
5. 5.▲
   by AvitalTrifsik 4y ago

   Streaming databases are often a good fit for building real-time apps on top of large-scale data. Designing streaming databases is a complex task bc of the constraints involved in handling streaming data. What are the 4 principles for buildi
6. 6.▲
   by AvitalTrifsik 4y ago

   Does event sourcing outgrows databases? In real world applications multiple concurrent users are updating records in the data store and often data is not updated in all places. This results in inconsistency across data stores. There is no m
7. 7.▲
   by AvitalTrifsik 4y ago

   Hey, me and my friends are using NATS with our OP project. One of us just posted this article check it out, i would love to here some feedback from other NATS enthusiastic https://memphis.dev/blog/nats-io-%e2%9d%a4%ef%