SAP HANA PAL
Native In-Database Machine Learning
SAP HANA PAL
The SAP HANA Predictive Analytics Library is an ML library for SAP HANA, featuring algorithms developed and optimized for parallel in-memory processing.
Our Expertise
YOUR ADVANTAGE
Leverage the extensive SAP HANA experience and profound data science expertise of our consultants:
- Development of streamlined and rapid ML scenarios within SAP HANA
- Rapid and parallel data processing facilitated by SAP HANA's in-memory performance
Key Features of SAP HANA PAL
- Scenarios such as classifications, regressions, and time series analyses are comprehensively addressed.
- Over 90 ML algorithms are readily available.
- Parallel In-Memory Processing and Real-time Stream Analytics are fully supported.
- Automated Cross-Validation and Hyperparameter Optimization are provided for models.
- Algorithms can be seamlessly integrated into applications.
- Designed for both Data Scientists and Developers.
- Equipped with a user-friendly SQL interface.
- Offers Python and R client APIs, enabling coding in Python or R while data resides within HANA and is processed remotely.
Predictive Analysis Algorithms
The SAP HANA PAL incorporates numerous predictive analysis algorithms from the following ten listed data mining categories:
- Classification
- Regression
- Time series forecasting
- Cluster analysis
- Association analysis
- Outlier detection
- Recommender System
- Link prediction
Benefit from
SAP HANA PAL
- Simple and rapid development of ML scenarios in SAP HANA
- Rapid and parallel data processing facilitated by SAP HANA's in-memory performance
Kay Rohweder
Head of Business Unit
Data & Analytics
kay.rohweder@isr.de
+49 (0) 151 422 05 242