Archivy aktualizací
Měsíční aktualizace pro Azure Synapse Analytics: listopad 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.
Aktualizace podle data
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