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1-click capabilities for intuitive semi-automatic table and ingestion experiences in Azure Data Explorer is generally available.
In collaboration with Fluent Bit, we are releasing a new output plugin for Azure Blob Storage. The connector can output both block blobs and append blobs to an Azure storage account.
You can now use Azure Synapse Workspace to access your data in Azure Data Explorer using Apache Spark pool
Azure Data Explorer has added support for isolated compute SKU and ready for deployment.
Row Level Security simplifies the design and coding of security. It lets you apply restrictions on data row access in your application.
The new geo_polygon_to_s2cells function enables the user to join vast amount of geospatial timeseries data with polygons on S2 cells.
Azure Data Explorer Kafka Connector - Improved delivery guarantees, schema registry support, and Confluent certification
Azure Data Explorer Kafka connector now supports schema registry, additional converters, "at least once" delivery guarantees, improved and configurable retries, behavior on error, and is Confluent gold certified.
Create a table easily and quickly using an intuitive 1-click wizard experience.
Share big data in-place easily, securely, and at no additional cost.
The Streaming Ingestion feature can be used when you need Near Real Time (less than 10 seconds) ingestion with small amounts of data and multiple tables.
Azure Data Explorer 1-click now supports mapping transformations as part of the schema definition with the intuitive UX.
A new online course that offers a comprehensive overview of data analytics with Azure Data Explorer is now available for free.
Use the new automatic resource allocation feature to define a data connection from any Azure Storage to Azure Data Explorer database.
Learn how to ingest up to 10,000 blobs with auto-suggestive schema definition and continue ingestion for new blobs in only a few minutes.
Azure Data Explorer now has support for one-click ingestion from containers, along with continuous ingestion for new blobs with intuitive schema definition.
Azure Data Explorer extents geospatial capabilities in order to cluster data and render it.
21 new services added to FedRAMP High ATO, delivering on continued commitment to accelerating compliance for government customers
Deployment of an Azure Data Explorer into a virtual network is now generally available. Use this feature to isolate the network traffic and limit the attack surface for Azure Data Explorer and their corresponding communications.
At Build, Azure Data Explorer will preview the capability for enterprises to query data from ADLS Gen 2 without ingesting data
Spark connector for Azure Data Explorer and ability to run inline Python and R as part of the query.
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