Tips, Expertise, Articles and Advice from the Pro's for Your Website or Blog to Succeed
Welcome to this series of blog posts that covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time. RediSearch and Redis Streams serve as the backbone of this solution that consists of several co-operating components, each of which will be covered in a dedicated blog post.
The code is available in this GitHub repo - https://github.com/abhirockzz/redis-streams-in-action
Welcome to this series of blog posts that covers Redis Streams with the help of a practical example. We will use a sample application to make Twitter data available for search and query in real-time. RediSearch and Redis Streams serve as the backbone of this solution that consists of several co-operating components, each of which will be covered in a dedicated blog post.
The code is available in this GitHub repo - https://github.com/abhirockzz/redis-streams-in-action
Data processing has been revolutionized in recent years, and these changes present tremendous possibilities. For example, if we consider a variety of use cases — from IoT and Artificial Intelligence to user activity monitoring, fraud detection and FinTech — what do all of these cases have in common? They all collect and process high volumes of data, which arrive at high velocities. After processing this data, these technologies then deliver them to all the appropriate consumers of data.
With the release of version 5.0, Redis launched an innovative new way to manage streams while collecting high volumes of data — Redis Streams. Redis Streams is a data structure that, among other functions, can effectively manage data consumption, persist data when consumers are offline with a data fail-safe, and create a data channel between many producers and consumers. It allows users to scale the number of consumers using an app, enables asynchronous communications between producers and consumers and efficiently uses main memory. Ultimately, Redis Streams is designed to meet consumers' diverse needs, from real-time data processing to historical data access, while remaining easy to manage.