Dstream represents continuous stream of data ingested from sources like Kafka, Flume, Twitter, or HDFS. Dstreams are processed and pushed out to filesystems, databases, and live dashboards. Refer to ...

Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage Flink and Dataflow bring new innovations and target some ...

Just about all technology decision-making must meet two essential criteria: it must enable you to meet your business goals and it must work well alongside the rest of your technology stack. When it ...

Apache Kafka is on a roll. Last year it registered a 260 percent jump in developer popularity, as Redmonk’s Fintan Ryan highlights, a number that has only ballooned since then as IoT and other ...

Confluent has emerged as a game-changer in the data streaming world, driving the evolution of Apache Kafka from on-premises systems to fully managed cloud-native services. In this interview, we sat ...

The folks at Databricks last week gave a glimpse of what’s to come in Spark 2.0, and among the changes that are sure to capture the attention of Spark users is the new Structured Streaming engine that ...