Azure Synapse Analytics
Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. Azure Synapse brings together the best of SQL technologies used in enterprise data warehousing, Spark technologies used for big data, Data Explorer for log and time series analytics, Pipelines for data integration and ETL/ELT, and deep integration with other Azure services such as Power BI, CosmosDB, and AzureML.
Now generally available: managed ingestion from Azure Cosmos DB to Azure Data Explorer in near real time.
Rewind to read previous transactions in Synapse Link containers to analyze previous versions of your document with time-travel for Azure Synapse Link
By adopting Kubernetes, organizations can unlock a range of cost benefits. With workloads configured to consume only the necessary resources and dynamically scale to meet demand, businesses can...
Build CDC data flows from Azure Cosmos DB analytical store, at no RUs cost, with Azure Synapse Analytics or Azure Data Factory.
The team catches up with April Edwards to learn about the benefits of using Bicep to deploy Azure resources. Media...
Summary Microsoft Azure Data Explorer is a great resource to ingest and process streaming data. Azure Data Lake Storage is a great resource for storing large amounts of data. The end-to-end...
You can now create Azure Synapse Runtime for Apache Spark 3.3. The essential changes include features which come from upgrading Apache Spark to version 3.3.1, and upgrading Delta Lake.
Now in public preview: managed ingestion from Azure Cosmos DB to Azure Data Explorer in near real time.
Azure Synapse Link for SQL enables seamless near-real-time data movement from relational sources in Azure SQL Database and SQL Server 2022 to analytical stores without needing to build ETL pipelines.
Faster Azure Synapse Analytics Spark performance at no cost.
Unlock near real time analytics on your graph data with Azure Synapse Link for Azure Cosmos DB Gremlin API.
Runs insert, update, or delete operations on a target table from the results of a join with a source table.