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Reduce job failures by using elastic pool storage.
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.
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.
Speed up big data processing in Azure Synapse with hardware-accelerated Spark pools.
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.
Save time and reduce risk when batch scoring in Azure Synapse Analytics with the new PREDICT keyword.
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.
Partition your data in analytical store using keys that are critical for your business logic to achieve better query and data load performance.
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.
You can now save up to 28 percent on Azure Synapse workloads without sacrificing flexibility with Azure Synapse pre-purchase plans.
The latest version of the open-source Apache Spark is now available in Azure Synapse Analytics Apache Spark pools.
Target retirement date: August 31, 2024
Transition from Compute Optimized data flows to General Purpose data flows by 31 August 2024.
Use T-SQL in Azure Synapse to read Delta Lake format.
Blob inventory allows you to get a full listing of all blobs within a storage account or container. This can be used in conjunction with Synapse to calculate per container metrics such as capacity and count.
Power your business applications data with analytical and predictive insights.
The public preview announced today starts with the foundation based on the open-source Apache Spark 3.0 branch with subsequent updates leading up to a Generally Available version derived from the latest 3.1 branch.
Beginning today, this GPU acceleration feature in Azure Synapse is available for private preview by request.
Stream Analytics now is available on Azure Stack Hub as an IoT Edge module, supporting native input and output adapters, such as Event Hub and IoT Hub. It allows customer to build truly hybrid data solutions.
Enable effortless discovery of trustworthy, valuable data with an Azure Purview powered search within Synapse Studio.
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