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Businesses are streaming and sharing ever-increasing amounts of data – and Confluent wants to make that process easier, safer and more effective.
With this, users are enabled to remediate any data quality issues so that it can be relied on to make business-critical decisions.
Discover the pros and cons of Apache Kafka for data streaming in combination with Apache Flink (or Kafka Streams) for stream processing.
How do you ensure message ordering in Apache Kafka topics? Check the details about corner cases, producer settings, and tradeoffs.
From video-recommendation engines and online banking to the developing AI revolution, data has become one of the world’s most valuable assets. Yet, consolidating data from disparate sources (e.g., databases, data warehouses, data lakes, and so on) into a format usable in real-time scenarios can be a monumental task in today’s hyper-connected world. Applications that don’t …