Identification of Seasonality in Time Series with Python Machine Learning Client for SAP HANA

SAP HANA, SAP HANA Cloud

1. Introduction Seasonality is an important characteristic of a time series and our Python Machine Learning Client for SAP HANA (hana_ml) offers a time series function called seasonal_decompose() which provides a seasonality test and the decomposition the time series into three components: seasonal, trend, and random noise. In this blog post, you will learn: The […]

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Outlier Detection using Statistical Tests in Python Machine Learning Client for SAP HANA

SAP HANA

In datasets with multiple features, one typical type of outliers are those corresponding to extreme values in numerical features. In this blog post, we will show how to use statistical tests algorithms in Python machine learning client for SAP HANA(i.e. hana_ml) to detect such outliers. In this blog post, you will learn: Introduction Outliers are […]

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Replication Service to easily setup replication from SAP HANA on-premise to SAP HANA Cloud.

SAP HANA Cloud, SAP HANA

A new Replication Service is now available in SAP HANA Cockpit as a Service. You can find this application as part of the monitoring view which allows creation and monitoring of replication jobs using Smart Data Integration. You can easily setup a new remote source and database object replication as the UI is a step-by-step […]

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Automate HANA snapshot with google storage snapshot – Manual Point-in-time recovery

SAP HANA

This Blog post explains how to automate/integrate HANA snapshot with google cloud storage snapshot. Due to volume data , HANA database size is keep on increasing and traditional online backups i.e. full , differential , incremental takes longer time. Longer running backups use heavy disk io and it impacts HANA operations i.e thread locking , […]

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