AzuAzure Data Explorer 現在已能透過 OpenTelemetry 匯出工具從許多接收者擷取資料。
新的 Azure 資料總管供應項目：Kusto 模擬器是封裝了 Kusto 查詢引擎的 Docker 容器。
Azure Data Explorer (ADX) now supports bringing data from S3 natively without complex ETL pipelines.
目標可用性： Q1 2022
Enhance your security posture by leveraging Azure private endpoints to connect to your Azure Data Explorer cluster privately
We can now build an entire Azure Data Explorer environment with ARM template. Schema entities (e.g. tables, functions, policies) can be deployed without an external storage account.
Azure Data Explorer launches support for Azure Active Directory Conditional Access.
目標可用性： Q1 2022
Dynamically route Azure Data Explorer data to an alternate database
Elasticsearch and Kibana users can now easily migrate to Azure Data Explorer (ADX) while keeping Kibana as their visualization tool, alongside the other Azure Data Explorer experiences.A new version…
General availability: Copy data to/from Azure Data Explorer using Azure Data Factory or Synapse Analytics
Mapping Data Flows provides scale-out data transformation in the cloud in Azure Data Factory and Azure Synapse Analytics. With these additional connectors, you can build ETL patterns at Spark scale in a code-free design environment without ever touching the Spark compute. Azure Integration Runtimes allow you to define the Spark environment and provide a serverless Spark compute for your data transformation pipelines.
Azure Data Explorer always supported to cache the latest ingested data for best performance. It now supports selectively caching older data which is ideal when auditing a given time period.
We are announcing that Azure Stream Analytics can directly output data to Azure Data Explorer, simplifying architecture where you need both hot and warm path analytics on streaming data. This feature will be added to all Stream Analytics regions progressively.
This new output plugin allows you to write telemetry collected by any of the input plugins of Telegraf directly into Azure Data Explorer e.g. it makes SQL monitoring at scale better and affordable.
Azure Synapse data explorer is optimized for efficient log analytics, using powerful indexing technology to automatically index structured, semi-structured, and free-text data commonly found in telemetry data.
Azure Data Explorer Insights provides comprehensive monitoring of your clusters by delivering a unified view of your cluster performance, usage, ingestion operations, cache, and more.
Azure Advisor analyzes the Azure Data Explorer cluster configurations and usage telemetry and offers personalized and actionable recommendations to help you optimize your cluster. Advisor is designed to help you save you time on the cluster optimization. The recommendations include suggested actions you can take right away, postpone, or dismiss.
You can now write cross service queries between Azure Monitor and Azure Data Explorer, to access relevant data where you need it.
Adding context to IoT data just became easier. Azure Digital Twins and Azure Data Explorer now seamlessly integrate, allowing you to allow you to contextualize time-series IoT data.
KQL 現在支援以 H3 為基礎的地理空間叢集，讓使用者可將儲存在 Azure Data Explorer 中的空間資料視覺化並加以探索。
Injecting an Azure Data Explorer cluster into a virtual network has never been easier.
Create an external table located in Azure Blob Storage, Azure Data Lake Store Gen1, or Azure Data Lake Store Gen2 to analyze and query your data.