Ensure Effective Data Quality Management in SAP HANA

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- DQLabs Platform
One unified platform for data leaders, engineers, and analysts—offering observability, quality, discovery, and remediation.
- DQLabs Capabilities
Automated data quality, anomaly detection, semantics-driven discovery, and issue resolution for trusted and reliable data.
- Data Observability
Monitor data, pipelines, and usage—detect anomalies, ensure reliability, and optimize the health of your data systems.
- Data Quality
Automate data quality with no-code checks, anomaly detection, lineage, and governance for trusted, accurate, and reliable data.
- Data Discovery
Discover data with semantics-driven categorization, advanced search, and catalog integration for faster, actionable insights.
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Ensure Effective
Data Quality Management in SAP HANA

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Overview

SAP HANA is a multi-model database that keeps data in memory rather than on a disk. This leads to orders of magnitude faster data processing than disk-based data systems, enabling sophisticated real-time analytics.

The integration of DQLabs and SAP HANA automates key data quality functions such as validating, profiling, and monitoring data in real-time. By leveraging advanced measures such as Conditional Measures, Query Measures, Behavioral Measures, and Lookup Measures, businesses can ensure higher data accuracy, real-time visibility, and more effective data-driven decision-making. Organizations leveraging this integration eliminate the need for manual data cleansing and issue resolution, reducing the overhead required to maintain high-quality data.

Data Quality and Observability for SAP HANA

By integrating DQLabs with SAP HANA, businesses can apply real-time data quality checks at the point of ingestion, transformation, and analytics. This ensures that only clean, accurate, and reliable data is processed and analyzed in SAP HANA, minimizing the risk of errors entering the system and propagating through business processes.

DQLabs data profiling helps optimize the flow of data within SAP HANA by identifying bottlenecks or inefficient processes related to data quality. By profiling data at different stages, organizations can ensure that data pipelines remain efficient, with fewer errors and less manual intervention required. This helps organizations understand not just the data itself, but also its characteristics, completeness, consistency, and integrity. By continuously profiling data, organizations can spot trends, identify anomalies, and track data quality over time.

DQLabs continuously monitors data quality and the health of SAP HANA data pipelines. With look-up measures, businesses can apply automated checks to ensure completeness, accuracy, and consistency of data. When issues are detected, whether it’s missing data, duplicates, or format inconsistencies, DQLabs triggers alerts, enabling quick corrective actions reducing downtime or disruptions caused by poor data.

By embedding data quality and observability checks into SAP HANA’s data pipelines, organizations can automate data governance processes. The table look-up measure can automatically cross-check and validate that data across different tables is consistent with governance standards.

DQLabs enables organizations to detect anomalies, outliers, and data quality issues early in the data lifecycle. This proactive approach helps teams address problems before they affect downstream analytics, reporting, or operations.

By automating data quality checks with DQLabs and utilizing conditional, query, and behavioral look-up measures that dynamically process data according to business rules, the integration with SAP HANA accelerates the data flow. Issues are identified early, keeping data pipelines clean and ensuring high-quality data is available more rapidly for analysis and decision-making.

Seamlessly integrate with your
Modern Data Stack

View all Integrations

Ensure Effective
Data Quality Management in SAP HANA

Overview

Data Quality and Observability for SAP HANA

Real-Time Data Validation

Optimized Data Profiling

Automated Monitoring and Alerts

Streamlined Data Governance

Early Detection of Data Issues

Faster Time-to-Value from Data Initiatives

Seamlessly integrate with your
Modern Data Stack

Getting started with DQLabs is fast and seamless!

Unlock the True ROI of Data Quality

Ensure Effective Data Quality Management in SAP HANA

Overview

Data Quality and Observability for SAP HANA

Real-Time Data Validation

Real-Time Data Validation

Optimized Data Profiling

Optimized Data Profiling

Automated Monitoring and Alerts

Automated Monitoring and Alerts

Streamlined Data Governance

Streamlined Data Governance

Early Detection of Data Issues

Early Detection of Data Issues

Faster Time-to-Value from Data Initiatives

Faster Time-to-Value from Data Initiatives

Seamlessly integrate with your Modern Data Stack

Getting started with DQLabs is fast and seamless!

Unlock the True
ROI of Data Quality

Ensure Effective
Data Quality Management in SAP HANA

Seamlessly integrate with your
Modern Data Stack