How do Power BI and Microsoft Purview support Big Data management?
Power BI enables data analysis and visualization of key metrics, while Microsoft Purview facilitates effective data management throughout its lifecycle. By integrating these tools, organizations can easily discover, catalog, and monitor data in an automated way, eliminating many challenges associated with managing large data sets.
Data partitioning and aggregation – key techniques in Power BI
Processing Big Data requires the right approach to data structure. Power BI offers various techniques that help optimize data analysis and improve report performance.
Data partitioning
- Data filtering – Power BI allows filtering data at the source level, reducing the amount of data processed in a report.
- Data subsets – tabular models enable creating datasets limited to specific regions, departments, or other categories.
Data Aggregation
- Grouping and summarization – users can group data by attributes such as region, product, or time.
- Predefined measures – creating measures in the data model allows for real-time calculations.
Query throughput optimization
- DAX queries – the DAX language enables creating complex formulas that enhance query efficiency.
- Caching and DirectQuery – these mechanisms balance analysis speed with data updating.
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Microsoft Purview – the foundation of Big Data management
Microsoft Purview is an advanced tool for managing Big Data that helps companies gain a comprehensive view of their data assets. It includes:
- data mapping – automated creation of a data map across the organization, encompassing cloud data, on-premises systems, and SaaS services.
- data lineage tracking – monitoring data flows from their source to final reports in Power BI.
- data cataloging – central repository allows easy searching and browsing of data.
Thanks to integration with Power BI, Microsoft Purview enables:
- improved data discovery – Users can easily find certified, high-quality data.
- compliance management – Sensitive data labels help meet regulatory requirements.
- optimized analytical processes – Data can be automatically sent to Power BI for further analysis.
Power BI and Microsoft Purview integration – key benefits
Effective Big Data management
Integrating Power BI and Microsoft Purview eliminates the need for multiple tools. This ensures data is accessible in one integrated environment, simplifying analytical processes.
High data quality
With labels and certifications provided in Microsoft Purview, users can trust they are working with data suitable for informed business decisions.
Processes automation
Automatic data scanning in Purview and integration with Power BI accelerate data management processes. This reduces the time needed for report and analysis preparation.
Why manage Big Data with Power BI and Microsoft Purview?
Scalability and flexibility
Power BI and Microsoft Purview are designed to handle data from various sources and formats. This makes them ideal for both small businesses and large corporations.
Enhanced security
Microsoft Purview offers advanced data protection mechanisms, such as sensitivity labels and access control. This ensures data security and minimizes the risk of breaches.
Time and resource savings
Automating key processes, such as data processing or report generation, allows companies to save time and resources, which can be allocated to other strategic initiatives.
Implementing Power BI and Microsoft Purview
Efficient Big Data management with Power BI and Microsoft Purview can bring significant benefits to your organization. If you want to learn more about implementing these tools and how they can improve your analytical processes, contact EBIS experts.
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