In this update, you’ll see the new name being used in the service. Lake databases work just like Spark databases did before. To help make it clear that these databases are supported by both Spark and SQL and to clarify their relationship to data lakes, we have renamed Spark databases to Lake databases.
Tables in Spark databases could be queried by both Spark pools and by serverless SQL pools. Tables in Spark databases kept their underlying data in Azure Storage accounts (i.e. Spark databases had two key characteristics: Previously, Synapse workspaces had a kind of database called a Spark Database. Introducing Lake databases (formerly known as Spark databases) Getting started with Azure Synapse data explorer. Introducing Azure Synapse data explorer for log and telemetry analytics. making it easy for users to perform telemetry analytics in Synapse workspaces. It automatically indexes free-text and semi-structured data commonly found in telemetry data, such as logs, time series, events, etc. The Synapse data explorer is optimized for efficient log analytics using powerful indexing technology. Azure Synapse data explorer complements the Synapse SQL and Apache Spark analytic engines already available in Synapse Analytics. Synapse Data Explorer Synapse Data Explorer now available in previewĪt Microsoft Ignite 2021 we announced the public preview of Azure Synapse data explorer. Custom partitions for Synapse link for Azure Cosmos DB in preview. Mapping Data Flow gets new native connectors. Browse ADLS Gen2 folders in an Azure Synapse Analytics workspace in preview. User-Assigned managed identities now supported in Synapse Pipelines in preview. Simple & scalable scoring with PREDICT and MLFlow for Apache Spark for Synapse. PREDICT is now GA for Synapse Dedicated SQL pools. Building responsible AI systems with the Synapse ML library. Getting started with state-of-the-art pre-built intelligent models. Dynamic allocation of executors for Spark. 
Natively read & write data in ADLS with Pandas. Mount remote storage to a Synapse Spark pool. Accelerate Spark workloads with NVIDIA GPU acceleration. Handling invalid rows with OPENROWSET in serverless SQL. Serverless SQL queries can now return up to 200GB of results. Query multiple file paths using OPENROWSET in serverless SQL. 
Delta Lake support for serverless SQL is generally available.Database Templates and Database Designer.Lake database designer now available in preview.Introducing Lake databases (formerly known as Spark databases).Synapse Data Explorer now available in preview.
Welcome to the November 2021 update for Azure Synapse Analytics! As we reach the end the end of 2021, we're excited show you all the new things that are now available for you.
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