Apache Spark has been causing a lot of excitement since its release in 2014, and is becoming established as the big data analytics engine of choice. It has been quickly embraced by business, thanks to its performance, wide range of applications, and friendliness to developers and data scientists.
One reason Spark has gained rapid adoption is its ability to integrate with diverse sources of data, presenting a common platform for analytics. As enterprises start working more with Spark, it’s important to ensure that this philosophy of integration is also reflected in the community and resources.
In this spirit, I’m very excited to announce that for Spark Summit 2017 in San Francisco, I will be joining Reynold Xin as co-chair of the Spark Summit program. As Spark grows in the enterprise, I’ll be helping ensure that the conference grows too, bringing in experiences and best practices from real enterprise users.
I hope you’ll join us in San Francisco from June 5-7 in Moscone West. The conference schedule includes training, along with a broad range of tracks, including Streaming, Developer, Machine Learning, Spark Ecosystem, Spark Experience, Enterprise Applications and Research.
Register here for Spark Summit 2017: for 15% off the regular registration fee, use the code