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RSS feedFebruary 2024
Announcing NBCROW Compression in Kusto's TDS Implementation
A new feature that reduces the data transfer for MSSQL queries on Kusto.
September 2023
New in Kusto: `.show databases entities` command for viewing tables, functions, and more
Target availability: Q4 2023
View the entities of all accessible cluster databases with the new `.show databases entities` command for Kusto, and customize the output with various options.
Introducing Graph Semantics in Kusto, a new way to contextualize time series data
Target availability: Q4 2023
Analyze networks, connected assets and more with Kusto's graph semantics extension to the Kusto Query Language (KQL). Find out how to contextualize your time series data in KQL, and how to leverage time-aware graphs.
July 2023
General availability: Azure Data Explorer adds support for PostgreSQL, MySQL, and CosmosDB SQL external tables
Azure Data Explorer has released three new types of external tables: PostgrSQL, MySQL, and CosmosDB SQL. These new external tables allow users to query data from these sources directly within Azure Data Explorer using the Kusto Query Language (KQL).
June 2023
General availability: Introducing DropMappedField transformation for data mappings in Azure Data Explorer
Azure Data Explorer has added a new capability called "DropMappedField" to its data mappings. This feature allows users to map an object in a JSON document to a column while removing any nested fields that are already referenced by other column mappings.
General availability: New KQL function to enrich your data analysis with geographic context
KQL introduces a new function to retrieve country, state, city, and coordinates from IP addresses using GeoLite2 data. Find out how to use geo_info_from_ip_address() and what it can do for your data analysis.
March 2023
Multi-Column Distribution for Dedicated SQL pools is now available!
Multi-Column Distribution (MCD) is highly desirable for easing migrations, promotes faster query performance and reduces data skew.
November 2022
Generally available: Increasing Azure Synapse Analytics Spark performance up to 77%
Faster Azure Synapse Analytics Spark performance at no cost.
October 2022
Generally available: MERGE command for Azure Synapse Analytics
Runs insert, update, or delete operations on a target table from the results of a join with a source table.
September 2022
General availability: Managed private endpoint support to Synapse SQL output
You can now connect your Stream Analytics jobs running on a dedicated cluster to your synapse dedicated SQL pool using managed private endpoints.
July 2022
Public preview: Azure Synapse Analytics Spark elastic pool storage
Reduce job failures by using elastic pool storage.
April 2022
Generally available: Database templates in Azure Synapse Analytics
Azure Synapse database templates are industry-specific schema definitions that provide a standardized way for you to store and shape data, enabling rapid digital transformation.
November 2021
Dynamic allocation for Apache Spark in Azure Synapse now generally available
Expanded options for autoscale for Apache Spark in Azure Synapse are now available through dynamic allocation of executors.
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.
Hardware-accelerated pools now in public preview for Apache Spark on Azure Synapse Analytics
Speed up big data processing in Azure Synapse with hardware-accelerated Spark pools.
General availability: New Azure Data Explorer output plugin for Telegraf
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.
Additional ML options for Spark on Azure Synapse now in public preview
Save time and reduce risk when batch scoring in Azure Synapse Analytics with the new PREDICT keyword.
Public preview: Industry-aware analytics with database templates in Azure Synapse
Database templates in Azure Synapse enable you to integrate and shape data from across multiple internal and external sources. This helps you eliminate data silos and accelerate building analytics-infused applications for your specific industry.
Azure Synapse Link for Azure Cosmos DB: Custom partitioning support in public preview
Partition your data in analytical store using keys that are critical for your business logic to achieve better query and data load performance.
General availability: Event Hubs Premium
Event Hubs Premium comes with reserved compute, memory, and storage resources, which increases the performance and minimizes cross-tenant interference in a managed multi-tenant PaaS environment.
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