As the adoption of Spark Streaming in the industry is increasing, so is the community’s demand for more features. Since the beginning of this year, we have made significant improvements in performance, usability, and semantic guarantees. In particular, some of these features are:
In this talk, I am going to discuss these improvements as well as the plethora of features we plan to add in the near future.
Tathagata Das is an Apache Spark committer and a member of the PMC. He is the lead developer behind Spark Streaming, which he started while a PhD student in the UC Berkeley AMPLab, and is currently employed at Databricks. Prior to Databricks, Tathagata worked at the AMPLab, conducting research about data-center frameworks and networks with Scott Shenker and Ion Stoica.
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