Anastasios Skarlatidis

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machine learning open source big data mapreduce distributed computing apache spark

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Introduction to Apache Spark

Hace 9 años • 2193 Visualizaciones

About the LoMRF project

Hace 7 años • 140 Visualizaciones

Avoiding big data antipatterns

grepalex • Hace 8 años

The Ultimate Guide to Mobile Consumer Research

Ray Beharry • Hace 8 años

Apache® Spark™ 1.6 presented by Databricks co-founder Patrick Wendell

Databricks • Hace 8 años

Building Distributed Systems from Scratch - Part 1

datamantra • Hace 8 años

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Databricks • Hace 9 años

Data science and_analytics_for_ordinary_people_ebook

Jeffrey Strickland, Ph.D., CMSP • Hace 8 años

Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks

Legacy Typesafe (now Lightbend) • Hace 8 años

A Deeper Look Into Reactive Streams with Akka Streams 1.0 and Slick 3.0

Legacy Typesafe (now Lightbend) • Hace 8 años

Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization

Patrick Di Loreto • Hace 8 años

Reactive Streams 1.0.0 and Why You Should Care (webinar)

Legacy Typesafe (now Lightbend) • Hace 8 años

Transform your State \/ Err

Germán Ferrari • Hace 8 años

Scala Days San Francisco

Martin Odersky • Hace 9 años

Introduction to Apache Spark Developer Training

Cloudera, Inc. • Hace 9 años

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

Helena Edelson • Hace 9 años

Reactive Streams: Handling Data-Flow the Reactive Way

Roland Kuhn • Hace 9 años

Deep Dive with Spark Streaming - Tathagata Das - Spark Meetup 2013-06-17

spark-project • Hace 10 años

JAZOON'13 - Guide Schmutz - Kafka and Strom Event Processing In Realtime

jazoon13 • Hace 10 años

Scala+data

Samir Bessalah • Hace 10 años

Why Zsh is Cooler than Your Shell

jaguardesignstudio • Hace 11 años

machine learning open source big data mapreduce distributed computing apache spark

Anastasios Skarlatidis

Presentaciones

Introduction to Apache Spark

About the LoMRF project

Recomendaciones

Avoiding big data antipatterns

The Ultimate Guide to Mobile Consumer Research

Apache® Spark™ 1.6 presented by Databricks co-founder Patrick Wendell

Building Distributed Systems from Scratch - Part 1

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Data science and_analytics_for_ordinary_people_ebook

Four Things to Know About Reliable Spark Streaming with Typesafe and Databricks

A Deeper Look Into Reactive Streams with Akka Streams 1.0 and Slick 3.0

Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization

Reactive Streams 1.0.0 and Why You Should Care (webinar)

Transform your State \/ Err

Scala Days San Francisco

Introduction to Apache Spark Developer Training

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

Reactive Streams: Handling Data-Flow the Reactive Way

Deep Dive with Spark Streaming - Tathagata Das - Spark Meetup 2013-06-17

JAZOON'13 - Guide Schmutz - Kafka and Strom Event Processing In Realtime

Scala+data

Why Zsh is Cooler than Your Shell