You can seamlessly mix and match based on your needs and expertise. NET code within a Spark application.Īzure Synapse removes the traditional technology barriers between using SQL and Spark together. NET for Spark allowing you to reuse your C# expertise and existing. Fast Spark start-up and aggressive autoscaling.Simplified resource model that frees you from having to worry about managing clusters.ML models with SparkML algorithms and AzureML integration for Apache Spark 3.1 with built-in support for Linux Foundation Delta Lake.Integrate AI with SQL by using machine learning models to score data using the T-SQL PREDICT functionĪpache Spark for Azure Synapse deeply and seamlessly integrates Apache Spark-the most popular open source big data engine used for data preparation, data engineering, ETL, and machine learning.Use built-in streaming capabilities to land data from cloud data sources into SQL tables.For unplanned or bursty workloads, use the always-available, serverless SQL endpoint. For predictable performance and cost, create dedicated SQL pools to reserve processing power for data stored in SQL tables. Synapse SQL offers both serverless and dedicated resource models.Synapse SQL is a distributed query system for T-SQL that enables data warehousing and data virtualization scenarios and extends T-SQL to address streaming and machine learning scenarios. 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. Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.
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