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 ...

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.

Azure SQL Data Warehouse is available in 40 Azure regions around the world, ... When creating a data warehouse (see screenshot above) there’s an option to allow multiple clusters, ...

The common use cases of Azure SQL Data Warehouse. How to create an automated data management strategy to support these use cases. A checklist of items to consider and prepare for when migrating to ...

Microsoft Azure Synapse Analytics: Azure Synapse Analytics is an analytics service that brings together data integration, data warehousing, and big data analytics.

Whether it's Microsoft's on-premises flagship SQL Server, PC thorn-in-the-side Access, or in-cloud options like Azure SQL Database, SQL Data Warehouse, Cosmos DB, Blob, file and table storage or ...

In Azure SQL Data Warehouse, fact tables are distributed across nodes using a hash column, while smaller dimensions are replicated to all nodes and larger dimensions use the same hash distribution.

For those needing robust ELT, data science, and machine learning features within a data lake/data warehouse framework, Databricks is the winner. Azure ML wins for those just wanting to add ML to ...

As you may remember, Azure SQL Data Warehouse - Microsoft's cloud relational database solution - saw a three-fold increase in compute scale last year.This brought with it unlimited columnar ...

You need to take into account the differences that exist between an on- premise data warehouse and a cloud data warehouse. Register for the eBook – Data Warehouse Automation in Azure for Dummies, ...