The Modern Data Warehouse (MDW) pattern makes it easier than ever to deal with the increasing volume of enterprise data by enabling massive, global-scale writes operations while making the information ...

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

SQL Analytics implement T-SQL based analytics, and comes with the capabilities that were previously in Azure SQL Data Warehouse. This is immediately generally available.

And since the offering is based entirely on the data warehouse functionality in Synapse (i.e. the same functionality that was present in Azure SQL Data Warehouse), it's ready to run, today.

Azure Synapse is better set up for users that just want to deploy a good data warehouse and analytics tool rapidly without being bogged down by configurations, data science minutia, or manual setup.

That includes products like SQL Server, the open source programming interface Apache Spark, Azure Data Factory and Azure Data Studio, as well as notebook interfaces preferred by many data ...

Last year, at its Ignite conference, Microsoft announced Azure Synapse Analytics, an analytics service that combines analytics and data warehousing to create what the company calls “the next ...

Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) is a data analytics service from Microsoft. It’s part of the Azure platform, which includes products like Azure Databricks ...

Microsoft also highlights Synapse’s integration with Power BI, its easy to use business intelligence and reporting tool, as well as Azure Machine Learning for building models. With the Azure ...

Azure SQL Data Warehouse Azure SQL Data Warehouse keeps getting better. It now has several new features, such as Result-set Caching, Materialized Views, and support for sorted columnstore indexes.

For now, SQL Data Warehouse is “designed for” data warehouses between 5 and 10TB, Wissner wrote. That way, Microsoft can take in feedback and figure out ways to improve the service.

Microsoft Azure SQL Data Warehouse is a cloud-based data warehouse that uses the Microsoft SQL engine and MPP (massively parallel processing) to quickly run complex queries across petabytes of data.