Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Helena Edelson

Helena Edelson
Senior Software Engineer, Apple


Committer to several open source projects including the Spark Cassandra Connector, Cassandra Kafka Connector, a previous contributor to Akka (2 new features in Akka Cluster), Spring Integration and several others. She is also a speaker at international Big Data and Scala conferences: Kafka Summit, Spark Summit (EU and NYC), Strata (NYC and San Jose), Reactive Summit, QCon SF, Scala Days (EU and US), Scala World and Philly Emerging Technology. Currently a Senior Software Engineer in Distributed Systems at Apple.


11:50am–12:30pm Wednesday, 03/30/2016
Data Innovations

Location: 210 D/H
Tags: real-time
Helena Edelson (Apple), Evan Chan (Tuplejump)
Average rating: ***..
(3.85, 13 ratings)
Developers who want both streaming analytics and ad hoc, OLAP-like analysis have often had to develop complex architectures such as Lambda. Helena Edelson and Evan Chan highlight a much simpler approach using the NoLambda stack (Apache Spark/Scala, Mesos, Akka, Cassandra, Kafka) plus FiloDB, a new entrant to the distributed-database world, which combines streaming and ad hoc analytics. Read more.