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Spark v2.2 Workshop
November 3, 2017 @ 3:30 pm - 8:00 pm UTC+0
Do you want to learn more about the newly introduced features in Spark v2.2 and about Spark’s integration with Kafka and Cassandra for streaming pipelines? RSVP here now and save your front row place on November 3, starting 3:30 PM!
About the event
- The first part of the workshop will cover Spark SQL with Scala, specifically the limited toy examples emphasized by Spark documentation and tutorials. Spark SQL, used in isolation, can realistically only be used for such didactic use cases – when ingesting real-world datasets, Spark SQL will very quickly show its limitations and therefore some more powerful techniques are needed.
- The second part of the workshop will cover the techniques mentioned above, without which Spark SQL is largely ineffective. This section of the workshop will be about sharing lessons learned the hard way, and experience gathered in the trenches of the real world.
- The third part of the workshop, titled “Machine Learning By Example”, will cover multiclass classification using SparkML’s Pipeline API with Scala. SparkML is the machine learning module that ships with Spark.
- During the remaining time, the trainer will focus on a Scala/Spark Streaming application that ingests data from Apache Kafka (an open-source, high-performance, distributed message queue), performs streaming analytics, then saves the analytics results back into Kafka.
If participants want to dive deeper into high-complexity topics, the trainer will instead focus on live coding ad-hoc demos.
- 15:30 – 16:00 Welcome
- 16:00 – 17:00 SQL with Scala
- 17:00 – 18:00 Spark SQL techniques
- 18:00 – 19:00 Machine Learning By Example
- 19:00 – 20:00 Scala/Spark Streaming application
- 20:00 – 21:30 Networking
RSVP here to confirm your attendance to Spark v2.2 Workshop.
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