How can we ensure scalability in data streaming applications?
To ensure scalability in data streaming applications, you can use distributed systems, partitioning, and load balancing.
What are some popular tools for implementing scalable data streaming?
Popular tools include Apache Kafka, Apache Flink, and Amazon Kinesis, which are designed for high throughput and scalability.
How do I handle data consistency in a scalable streaming system?
You can handle data consistency by implementing techniques like exactly-once processing and using distributed consensus algorithms.
What challenges should I be aware of when scaling data streaming?
Challenges include managing state, ensuring fault tolerance, and dealing with data latency.
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