SAP HANA 2.0 on Neo: Database administration using on-premises SAP HANA Cockpit

SAP HANA, SAP HANA Service, SAP HANA Cockpit, SAP HANA 2.0

Objective This blog aims to outline and demonstrate the procedure to connect SAP HANA 2.0 databases running on the SAP Business Technology Platform, Neo environment to an SAP HANA Cockpit 2.0, installed on-premise. The release of this version will also help existing SAP HANA 1.0 databases to be upgraded before the End of Maintenance timeline […]

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Implementing attribute view with customer

SAP S/4HANA, MM (Materials Management), SAP HANA, SD (Sales and Distribution)

In this blog, I am sharing basic overview of Implementing attribute view with customer Attribute view: Attribute views are dimensions Attribute views are used to join to a dimension or attribute view. In most cases used to model master data like entities (like product, employee, business partner) Highly re-used and shared in analytic- and calculation […]

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Install ABAP Platform Developer Edition 1909 using VM and SUSE

ABAP Development, SAP Fiori, SAP HANA

This post is a guide to install “ABAP Platform Developer Edition 1909” from a VMWare virtual machine and using the LINUX SUSE distribution. Requirements System 4 CPUs 16GB RAM 150GB Disk Tools Environment preparation Preparing the virtual machine We access the VMWare program and go to the option “Create a new virtual machine” We select […]

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Anomaly Detection in Time-Series using Seasonal Decomposition in Python Machine Learning Client for SAP HANA

SAP HANA, Machine Learning

Introduction The detection of anomalies from a given time-series is usually not an easy task. The natural association with time brings many unique features to time-series that regular 1D datasets, like time-dependency(via lagging), trend, seasonality, holiday effects, etc. Because of this, traditional statististical tests or clustering-based methods for anomaly/outlier usually will fail for time-series data, […]

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SAP Analytics Cloud Story with HANA Live Connection ABAP Cache Warmer

SAP Analytics Cloud, BW (SAP Business Warehouse), SAP HANA

Next to most current and correct data, performance is another very important factor in analytics. In the blog “How to trace widgets in SAP Analytics Cloud stories connected via HANA Live Data Connection“ ( https://www.sapspot.com/how-to-trace-widgets-in-sap-analytics-cloud-stories-connected-via-hana-live-data-connection/ ) it was already described how to grep performance data and link them to a widget in a SAP Analytics […]

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HCL Workload Automation and SAP best performance together

SAP HANA, SAP ERP, SAP S/4HANA

When we need operational efficiency and orchestration in an IT and Business workflows, Workload Automation is the best approach for Enterprise Resource Planning. We see day by day our customers, especially those using SAP to run their critical jobs with specific time constraints and committed deadline. Business jobs must run and must take less time […]

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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: Outlier detection using […]

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