Vantage ClearScape Analytics consists of comprehensive in-database data manipulation, modeling and scoring functions, open and connected third-party integrations and APIs, as well as features enabling full-scale activation and operationalization of analytics.
Vantage ClearScape Analytics is built on these foundational pillars
- In-Database Analytics, includes a wide variety and rich set of analytic functions for data preparation, cleaning, transformation, feature engineering, model training and model scoring.
- Bring Your Own Analytics, refers to a highly extensible framework that enables execution of open-source code or libraries and import of pre-trained models for scoring data in Vantage.
In addition, Teradata provides client analytic libraries for Python (teradataml) and R (tdplyr) languages.
- Partner Integration, allows superior user experience by integrating partner analytics closely to the data and parallelizing computations on Vantage.
Teradata provides the following ways to analyze your data on VantageCloud Lake.
- Explore, transform, model and score your data with Python client library - teradataml.
See samples in this section and in Teradata Package for Python Function Reference on VantageCloud Lake
Sample workflows for teradataml BYOM and Open Analytics Framework features are available for download as attachments teradataml_workflows_byom.zip and teradataml_workflows_opaf.zip respectively. - Explore, transform, model and score your data with in-database functions.
- Use over 50 advanced analytic functions that support the entire data science process with Vantage Analytics Library.
See .
- Analyze web site clicks, sensor data, financial data, and more with nPath Visualization. See nPath Visualization.
- Use functions in the Vantage Analytics Library to perform in-database predictive modeling, evaluation, and scoring with the Vantage Analytics Library tool. See Vantage Analytics Library.
- Time series and forecast with in-database Unbounded Array Functions (UAF).
See Database Unbounded Array Framework Time Series Functions
- Use Bring Your Own Model (BYOM) to bring machine learning models, built using popular tools or platforms, and score them at scale in Vantage with no data movement. See Bring Your Own Model.
- Score Python machine learning models with Open Analytics Framework
See introduction and sample use cases in Build Scalable Analytics with Open Analytics Framework.
Sample use cases are available for download as attachment OpenAF_Documentation _SampleUseCases.zip.