SMACK Stack Guide (Spark++) [slides]

Tim Spann

CORE ·

Jan. 08, 16 · Big Data Zone · Presentation

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SMACK is cooler then MEAN.

Spark, Mesos, Akka, Cassandra and Kafka. A pretty solid fast big data stack centered around clusters and Scala.

You can get started by reading Data Processing with SMACK and then browsing through these slide shows:

Data Science lifecycle with Apache Zeppelin and Spark by Moonsoo Lee from Spark Summit

Intro to Apache Spark from Mammoth Data

Alpine academy apache spark series #1 introduction to cluster computing with python & a wee bit of scala from Holden Karau

Spark Summit EU 2015: Combining the Strengths of MLlib, scikit-learn, and R from Databricks

Akka in Production – ScalaDays 2015 from Evan Chan

Sa introduction to big data pipelining with cassandra & spark west minster meetup – black-2015 0.11-2 from Simon Ambridge

Lambda Architecture with Spark Streaming, Kafka, Cassandra, Akka, Scala from Helena Edelson

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

How to deploy Apache Spark to Mesos/DCOS from Typesafe_Inc

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

Spark Kernel Talk – Apache Spark Meetup San Francisco (July 2015) from Robert "Chip" Senkbeil

Reactive dashboard’s using apache spark from Rahul Kumar

Data processing platforms architectures with Spark, Mesos, Akka, Cassandra and Kafka from Anton Kirillov

Rethinking Streaming Analytics For Scale from Helena Edelson

Real-Time Anomaly Detection with Spark MLlib, Akka and Cassandra from Natalino Busa

Streaming Analytics with Spark, Kafka, Cassandra and Akka from Helena Edelson

Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization from Patrick Di Loreto

Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala from Helena Edelson

Reactive app using actor model & apache spark from Rahul Kumar

Related Github Repos

Topics:

spark, mesos, akka, scala, cassandra, kafka

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