Helena Edelson

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Helena has worked on cloud platforms, big data, analytics, ML, security and infrastructure at massive scale. Academically she did research in biological systems modeling, prediction and design, and polar biology. She is a committer to Akka, FiloDB, the Spark Cassandra Connector. She has been a keynote speaker at Scale By The Bay, Scala Days and a speaker at Kafka Summit, Spark Summit, Strata, QCon, Reactive Summit, Scala Days, Philly Emerging Tech, and is a Cassandra MVP. She has been on the program committee for Kafka Summit, Reactive Summit, and Strata.

akka big data scala cassandra machine learning analytics streaming kafka spark streaming filodb architecture apache spark distributed systems scalability fault tolerance apache kafka complex adaptive systems disorder complexity theory scale akka cluster noetl smack multi-datacenter data pipelines lambda architecture apache cassandra serverless event sourcing cqrs crdt microservices sharding distributed robotics non-linear dynamical systems evolution resource availability optimization swarm algorithms algorithms decentralization collective intelligence super organisms swarm intelligence swarm chaos theory self-organization chaos adaptability feedback loops resilience intelligent systems migration butterfly theory tropic cascade virus now time stephen hawking general systems theory systems theory entropy kafka streams reactive mlm eventuate aerospike snack distributed system kafka discov stream processing mesos data science spark hadoop ml data locality spark cassandra connector cassandra streaming kafka streaming predictive modeling stream computation streaming big data big data with spark the spark cassandra connector map reduce nosql

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Aktuellste Beliebteste SlideShares

Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign Management for Globally Distributed Data Flows

Vor 8 Jahren • 12310 Aufrufe

Helena Edelson

Toward Predictability and Stability

Patterns In The Chaos

Disorder And Tolerance In Distributed Systems At Scale

Building Reactive Distributed Systems For Streaming Big Data, Analytics & Machine Learning

Leveraging Kafka for Big Data in Real Time Bidding, Analytics, ML & Campaign Management for Globally Distributed Data Flows

NoLambda: Combining Streaming, Ad-Hoc, Machine Learning and Batch Analysis

Fast and Simplified Streaming, Ad-Hoc and Batch Analytics with FiloDB and Spark Streaming

Streaming Big Data & Analytics For Scale

Rethinking Streaming Analytics For Scale

Streaming Analytics with Spark, Kafka, Cassandra and Akka

Lambda Architecture with Spark Streaming, Kafka, Cassandra, Akka, Scala

Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala

Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)

Delivering Meaning In Near-Real Time At High Velocity In Massive Scale with Apache: Spark, Kafka, Cassandra and Akka