Mleap + Algorithmia: When to leave your spark pipeline behind for scalable deployment
Spark is a very powerful big data processing system thats capable of insane workloads. Sometimes though, there are critical paths that don't scale as effectively as you might want. In this blog post, we'll be discussing Spark, Spark Pipelines - and how you might be able to export a critical component from your spark project to Algorithmia by using the MLeap model interchange format & runtime.
What makes Spark great?
Apache Spark is at it's core a distributed data transformation engine for very large datasets and workloads. It links directly with very powerful and battle tested distributed data systems like Hadoop and Cassandra which are industry standard for working in spaces such as the financial industry.