Enterprise Data Science Platform



A Collaborative Platform to Build Visual Data Products

Model, Share and Deploy at Scale with Spark, Python and R


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Apache Zeppelin

What you notice first in Apache Zeppelin is the ability to connect numerous data sources, use algorithms written language as different as Scala, R and Python and share your analysis. Datalayer builds on top of Zeppelin to offer unique features any company needs in house.

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zeppelin-rest

Transform any note into a process can you call via a REST API. Call the note easily from any client.

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zeppelin-flow

Assemble your notes to make a complete application. We offer a visual interface to compose a flow.

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zeppelin-kerberos

Kerberos for the WEB user interface, with user impersonation. We integrate with MIT Kerberos as Microsoft Active Directory.

Data Science Platform


Data Science Magic

Combine Spark, Python and R power on an integrated platform.

Tell Data Stories

Analyse datasets and demonstrate your skills. Grow your Data Science Network and Connect with peers.

Socialize

Bring social behavior in a Notebook tailored for your Data Scientists: Clone, Fork, Follow, Like...

Easy

Setup your environment with ease with our Docker images.

Also for Business Analysts

Share on Microsoft OneNote and Twitter.

It's Secured

We run on Kerberos and on professional distributions (Hortonworks, Cloudera...) to protect your data assets.

Clients


To accomodate a variety of use cases and business.

Social

Find new Consumer habits in less expensive and more diverse ways.


Marketing

Identify Loyal Customers with Text Mining and Graph Analytics.


IoT

Lower maintenance costs and vehicules delays. Help Management deciding to further invest in IoT.


Fraud

Patterns of fraud can be retrieved in the unstructured machine data generated.


360º

Extend customer view incorporating internal and external information sources.