GitHub - zutherb/Building-a-full-automated-Fast-Data-Platform: Many people promise fast data as the next step after big data. The idea of creating a complete end-to-end data pipeline that combined Spark, Akka, Cassandra, Kafka, and Apache Mesos came up two years ago, sometimes called the SMACK stack. The SMACK stack is an ideal environment for handling all sorts of data-processing needs which can be nightly batch-processing tasks, real-time ingestion of sensor data or business intelligence questions. The SMACK stack includes a lot of components which has to be deployed somewhere. Lets see how we can create a distributed environment in the cloud with Terraform and how we can provision the Mesos-Cluster with Mesosphere Datacenter Operating System (DC/OS) and create a powerful fast data platform.

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Many people promise fast data as the next step after big data. The idea of creating a complete end-to-end data pipeline that combined Spark, Akka, Cassandra, Kafka, and Apache Mesos came up two years ago, sometimes called the SMACK stack. The SMACK stack is an ideal environment for handling all sorts of data-processing needs which can be nightly…

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Name		Name	Last commit message	Last commit date
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slides		slides
.gitignore		.gitignore
README.txt		README.txt
favicon.ico		favicon.ico
start.sh		start.sh

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Presenting the slides
=====================

If external markdown files are used (recommended for large presentations) the slides have
to be presented from a HTTP server. Two very easy solutions are:
- cd slides && python -m SimpleHTTPServer OR
- cd slides && npm install http-server && ./node_modules/http-server/bin/http-server