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An enterprise stores business data across multiple cloud repositories and on-premises databases. The compliance team needs a centralized solution to automatically discover, catalog, and classify sensitive information across all data sources so that data consumers can easily find, understand, and govern these assets.
Which service should the enterprise implement?
Kusto.Explorer is a Windows desktop application that provides a graphical user interface for querying and analyzing data hosted in Azure Data Explorer clusters using Kusto Query Language (KQL).
A data analyst required a dedicated Windows desktop application with syntax highlighting and keyboard shortcuts to write and optimize complex KQL queries.
Kusto.Explorer allows users to interactively query data stored within a specific database, whereas Microsoft Purview provides an enterprise-wide data catalog to locate and govern datasets across all organizational systems.
Microsoft Purview is a comprehensive data governance and compliance suite that provides unified data management across on-premises, multi-cloud, and Software-as-a-Service (SaaS) environments. It helps organizations gain a holistic understanding of their entire data estate.
Microsoft Purview is purpose-built for comprehensive data governance, metadata management, and sensitive data discovery. Unlike specialized query engines or ingestion tools, Purview delivers an automated, organization-wide view of data location, classification, and lineage.
LightIngest is a command-line utility used for ad-hoc and historical bulk data ingestion into Azure Data Explorer clusters.
An administrator needed a command-line tool to quickly load historical log files from Azure Blob Storage into an Azure Data Explorer table.
Ingestion tools like LightIngest help move data into storage and analytics platforms, whereas governance platforms like Microsoft Purview track and catalog where that data resides across the organization.
Azure Data Explorer (ADX) is a fully managed, high-performance big data analytics platform optimized for real-time analysis of large volumes of streaming telemetry, time-series data, and application logs.
The organization needed a scalable analytical service to perform rapid interactive analysis and write KQL queries against gigabytes of streaming log and telemetry data.
Azure Data Explorer clusters can be registered as a data source within Microsoft Purview to catalog their schemas and classify the data they store.
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