Leonardo

We Live and Breathe Data

Big Data Modeling Platform – From Excel to Blue Sky

DATA ANALYTICS PLATFORM

Leonardo is an analytics platform, designed to empower data scientists and engineers. It simplifies the complexities of processing Big Data problems, allowing users to focus on the business problems, leaving the pipes and plumbing to the platform.

EASY USER INTERACTION

Leonardo allows its users to interact in two ways: A drag and drop workflow UI, and a power user multi-language editor that supports Python and a Domain Specific Language for a trivial transition from SAS and other platforms. These two models are interchangeable and pipelines written in one can automatically generate the other.

MULTIPLE DATA SOURCES

Leonardo supports a myriad of data sources, from local Excel files, to conventional relational databases, like Oracle, Postgres, MySQL, to modern and next-gen Big Data systems such as HDFS, HBase, Cassandra, MongoDB and other No-SQL solutions and finally streaming data sources including Kafka, Storm, Haron and others.

THE PROCESS

The functional capabilities of the platform span from ingestion/loading, data preparation and scrubbing, sandbox environment replay, native Numpy and other Python stats library support to analytics and machine learning.

 

A MACHINE LEARNING WORKBENCH

Leonardo is a workbench that users can interact with after importing their data. Whether it be streaming, relational, text and/or semi-structured data, the platform guides you through the process, including native sandbox support for model tuning and replay/checkpoint support for model development and regression testing.

 

BIG DATA PLATFORM BUILD

Leonardo is built atop a Big Data platform that allows organizations to scale horizontally on commodity hardware. This means a system can perform computations on data across a cluster of servers for speed and efficiency on the cloud.

MODEL LIFECYCLE WORKFLOW SUPPORT

With Leonardo, you can  custom build your organization’s model lifecycle right into the workbench for a seamless transition between business analysis, data science, machine learning and your future business goals.

EASILY EXPORT MODEL OUTPUT

Easily export the results of your analysis to many popular frameworks and data sources including relational databases, HDFS, Excel, PDF and others. After importing data, adding your business rules and logic, applying machine learning algorithms and other pipelines to your data, you can deliver your analysis in your preferred format.

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