Azure Synapse Analytics

Limitless analytics with unmatched time to insight.

Overview

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.

Key Resources

Homepage: https://learn.microsoft.com/azure/synapse-analytics/
Pricing: https://azure.microsoft.com/pricing/details/synapse-analytics/
SLA: https://azure.microsoft.com/support/legal/sla/synapse-analytics/
Newsfeed: RSS

News

Date News
6/21/2024
If you’ve ever engaged with the content on the Microsoft Learn platform, it's highly likely that the material you utilized was written or co-authored by dedicated contributors. These...
6/13/2024
In an era where information is paramount, Microsoft presents the "Build Your Own AI Assistant" reference architecture, a robust framework designed to create customized AI assistants that can...
6/5/2024
Now Azure Synapse Link for Azure Cosmos DB customers can migrate to continuous backup.
5/29/2024
Introduction First, let’s provide an overview of how Cosmos DB is being used in this scenario. As per the architectural overview shown below, there are an ecosystem of Customer systems that emit...
4/22/2024
In real time, every project would deal with Azure storage or Azure SQL Database. It can be blobs, folders/directories, files. It becomes a crucial step to validate the file\folder\table before...
4/16/2024
Introduction   This article explores how the healthcare industry can utilize Generative AI, Large Language Model (LLM) Evaluation Metrics, and Machine Learning to streamline the patient referral...
4/8/2024
Azure Synapse Runtime for Apache Spark 3.4 is now Generally Available
3/22/2024
End of Support for Azure Synapse Runtime for Apache Spark 3.2. Apache Spark 3.2 will be retired and disabled as of July 8, 2024.
2/22/2024
In real time, the column names from source might not be uniform, some columns will have a space in it, some other columns will not. For example, Sales Channel Item Type, Region Country Unit...