Analytics Blog

All About Deep Tech: Creating Scoring Engines with PFA

In recent blogs we have talked extensively about model operationalization and the support Chorus provides for the PFA (Portable Format for Analytics) standard. PFA provides a standardized way of representing analytical models, providing much needed model portability i.e. the ability to train a model on one data platform, serialize the model as PFA, and then… Read more »


All About Deep Tech: Model Operationalization

Model operationalization is a core component of effective data science, and is a key focus at Alpine Data. In previous blogs, I’ve written frequently about model ops, especially the support Chorus provides for exporting models using the PFA and PMML formats. However, what about scoring on data platforms that don’t yet provide PFA or PMML… Read more »


The Chorus Python SDK

We are excited to announce the 1.0 release of our open-source Python API package alpine! Available now, this package serves as a Python wrapper to some API endpoints in Alpine and includes functions that add useful functionality to Alpine. The library can be found at https://github.com/AlpineNow/python-alpine-api. Feel free to fork; if you do something interesting… Read more »


Meet the New Operators in Chorus 6.2.2

The recent release of Chorus 6.2.2 brings five new ETL and Machine Learning operators to your analytics toolbox. These are quiet features that may not have caught your attention yet, but they make a big impact on the analytics functionality you have at your fingertips. Consider this blog post a highlight reel to welcome these… Read more »


All About Deep Tech: Execution Frameworks

The “All About Deep Tech” blog series is about just what the title suggests: in-depth looks at the cool technology that makes Chorus run smoothly and how we leverage the latest and greatest in the big data industry to keep our customers ahead of the curve. If you missed our last post on AdaptiveML, be… Read more »