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Predictive Analysis

HANA Predictive Analysis Library (PAL)

In previous article Application Function Library (AFL)_, we learnt about AFL in HANA. In this article, we will learn
  • What is HANA predictive Analysis Library (PAL)
  • Important features and Advantage of PAL

What is Predictive Analysis Library (PAL)?

The Predictive Analysis Library (PAL) is a built-in C++ library to perform advanced analytic algorithms.

HANA Predictive Analysis Library (PAL)
  • PAL is available on every HANA license option as well as HANA Cloud Platform.
  • PAL defines functions that can be called from within SQLScript procedures.
  • PAL is embedded in SAP HANA via the Application Function Library.
  • PAL includes classic and universal predictive analysis algorithms in data-mining and machine learning areas.

Why do we need PAL?


HANA Predictive Analysis Library (PAL)
Many of the standard algorithms used in data mining and predictive analysis would be too difficult or even impossible to implement yourself in SQLScript.
On the other hand, if you want to perform real-time predictive analysis, you need to avoid exporting your data to an external application server to run the predictive analysis function. That's where PAL comes in.

The idea behind PAL is to make it very straightforward to execute. For example, a clustering calculation (like K-means) on your data can be implemented in SAP HANA with just a few lines of SQLScript.
In most cases, the steps to use PAL are

HANA Predictive Analysis Library (PAL)

Algorithms supported by PAL:

The algorithms in PAL are carefully selected based on the following criteria:
  • Needed for SAP applications and customers.
  • Most commonly used based on market surveys.
  • Generally available in other database products.
  • Customized algorithms to support real & complex business scenarios.

Currently PAL includes following predictive analysis algorithms:


HANA Predictive Analysis Library (PAL)



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