Pivotal Engineering Journal

Technical articles from Pivotal engineers.

Category: Data Science

  1. Trilogy and Greenplum for Data Science TDD How to use a new SQL testing framework called Trilogy with Greenplum Database to help you test drive your data science code. Categories:   Data Science    TDD    SQL    Databases    Greenplum Database   
  2. Continuous Integration for Data Science This article will show why continuous integration is also important for smart apps projects. Categories:   Data Science    Machine Learning    Smart Apps    TDD    Continuous Integration    Concourse   
  3. Test-Driven Development for Data Science Unravelling Test-Driven Development for Data Science. Categories:   TDD    Data Science    Machine Learning    Agile    Pair Programming   
  4. Operationalizing Data Science Models on the Pivotal Stack Categories:   Data Science    Greenplum    SCDF    PCF    GemFire   
  5. API First for Data Science How API first can help to create smart data-driven apps. Categories:   Data Science    Machine Learning    API First    Cloud Foundry    Smart Apps   
  6. Building machine learning models at scale for data parallel problems on Pivotal's MPP databases Building machine learning models (ex: scikit-learn) at scale for data parallel problems on Pivotal’s MPP databases (Greenplum/HAWQ). Categories:   Data Science    Greenplum    Procedural Languages    Python   
  7. Pairing for Data Scientists Lets see how pair programming fits in the data science world. Categories:   Data Science    Pair Programming    Agile