● Bring Apache Spark capabilities closer to non code-savvy users○ interactive Big Data analytics○ speed up building Apache Spark applications

● Provide collaboration platform for data scientists and software engineers

Seahorse Motivations

Seahorse v.1.3

● Development since mid 2015● First release in Feb 16● 3 releases so far● Shown on multiple conferences:

○ Strata (NYC, London)○ Spark Summit (SF, Amsterdam)○ Hadoop Summit (San Jose, Dublin)○ AI World (SF)○ ODSC (London)

● Included in platforms:○ IBM’s Big Data University○ Intel’s Trusted Analytics Platform

● Group of early adopters

Seahorse Timeline

Seahorse 1.3 (released in Sep 16):

● R support: build custom operations in R and use R notebooks within Seahorse

● Custom cluster connectivity: run Seahorse in Client Mode and connect to any cluster

● Spark 2.0

Seahorse Roadmap Highlights

Seahorse 1.4 (Jan 17):

● Scala SDK: create custom operations in Scala and use them in multiple workflows from the operation palette

● Workflow scheduler● Email reports: generate custom

visual reports using Notebooks and get results sent via email

1. Go to deepsense.io -> Seahorse -> Standalone2. Fill out a short form and choose between:

a. Docker (set of containers with Docker Compose)b. Vagrant (virtual machine image)

3. See examples and docs at seahorse.deepsense.io4. Post feedback to our board or directly to michal@deepsense.io

How to Get Seahorse