I am very excited to that announce that Matei Zaharia and Pat McDonough from DataBricks will be speaking at the Seattle Spark Meetup and we’ve increased the room size to accommodate more people!
They will come up and join us for pizzas and to talk about Apache Spark! I highly encourage you to join the Seattle Spark Meetup for this and other exciting sessions! Below is the abstract of their session as well as their biographies.
Introduction to Apache Spark
Apache Spark has quickly grown to be one of the most active projects in big data, with more contributors in the past year than Hadoop MapReduce. In this talk, we’ll introduce you to the core concepts behind the engine, recent additions, and where it’s going next. While the Spark engine is designed for ease of use and speed, its most unique strength is generality, in that it can efficiently support and combine many workloads that usually required separate engines (e.g. MapReduce, SQL and machine learning). We’ll show how we are taking advantage of this strength with higher-level libraries built on Spark like Shark for SQL, MLib for machine learning, and Spark Streaming.
Matei Zaharia started the Apache Spark project at UC Berkeley, and is currently CTO of Databricks.
Pat McDonough is Director of Client Solutions at Databricks. He was previously at Cloudera and Red Hat.
Again, I highly encourage you to join the Seattle Spark Meetup for this and other exciting sessions!