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A collection of 165 posts
SMACK stack for big data: Spark, Mesos, Akka, Cassandra, and Kafka
12/10/2020
Just as the LAMP stack revolutionized servers and web hosting, the SMACK stack has made big data applications viable and easier to develop. Want to come up to speed? Here are the basics.Just as LAMP m...
Data Processing with SMACK: Spark, Mesos, Akka, Cassandra, and Kafka
12/4/2020
Alibaba CloudJan 12, 2018·11 min readData Processing with SMACK: Spark, Mesos, Akka, Cassandra, and KafkaThis article introduces the SMACK (Spark, Mesos, Akka, Cassandra, and Kafka) stack and illustra...
Cassandra and Spark, closing the gap between no sql and analytics c…
12/2/2020
Cassandra and Spark, closing the gap between no sql and analytics c… SlideShare Explore You Successfully reported this slideshow.Cassandra and Spark, closing the g...
Maximum Overdrive: Tuning the Spark Cassandra Connector (Russell Spit…
Maximum Overdrive: Tuning the Spark Cassandra Connector (Russell Spit… SlideShare Explore You Successfully reported this slideshow.Maximum Overdrive: Tuning the Spar...
Fast Data Revealed: 7 Lightbend Resources For Spark, Mesos, Akka, Cassandra and Kafka Adopters | @lightbend
There is a lot going on in the world of Fast Data these days. Simply understanding when to implement which streaming technology can be confusing enough without searching everywhere for the goods. Our ...
ingared8/skack
Spark, Kafka, Akka and Cassandra on KuberntesThis helm charts provides an easy way to install Spark, kafka and Cassandra on kubernetes.helm repo add ingared https://ingared8.github.io/skack/helm sear...
SKACK Helm Charts
Ganga ReddyNov 29, 2018·1 min readHelm ChartsThink of helm-charts as apt-get of your Ubuntu ( brew install of Mac OS). It provides an easy way to install any application in a consistent way across mul...
SKACK IS THE NEW SMACK
Ganga ReddyNov 7, 2018·4 min readPeople who are familiar with SMACK stack(Spark, Mesos, Akka, Cassandra, and Kafka) often find themselves working in the spectrum of big data. This has been proven to b...