Azure Synapse Data Compression

Azure Synapse brings these worlds together with a unified experience to ingest, explore, prepare, transform, manage, and serve data for immediate BI and machine learning needs. See the new features. Explore the learning path. Gain insights from time-series, log, and telemetry data with Azure Synapse data explorer, now in preview.

https://azure.microsoft.com/en-us/services/synapse-analytics/

Synapse SQL stores data into Azure storage to keep user data safe. Data is sharded into distributions to enhance the performance. Three possible sharding patterns are: hash, round robin and replicate.

https://www.sqlservercentral.com/articles/loading-data-in-azure-synapse-using-copy

Azure SQL Data Warehouse is an enterprise-class, distributed database, capable of processing massive volumes of relational and non-relational data . It can deploy, grow, shrink, and pause in seconds. As an Azure service, Azure SQL Data Warehouse automatically takes care of software patching, maintenance, and backups.

https://techcommunity.microsoft.com/t5/datacat/migrating-data-to-azure-sql-data-warehouse-in-practice/ba-p/305355

Azure Synapse serverless on-demand SQL is easy to use and makes fast big data analytics available to everyone who knows SQL. However, there are a couple of optimization actions which significantly reduces the SQL query time. The actions include both the query syntax itself and how the queried data is stored and organized in a... Read More » Azure Synapse ...

https://plainlyresults.com/blog/azure-synapse-serverless-sql-optimization-with-examples/

Our visitors often compare Microsoft Azure Synapse Analytics and Vertica with Snowflake, Amazon Redshift and Microsoft SQL Server. Providers of DBaaS offerings, please contact us to be listed. Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

https://db-engines.com/en/system/Microsoft+Azure+Synapse+Analytics%3BVertica

Using Azure Synapse , a limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics. Synapse provides different tools and approaches to work with the collected data , including T-SQL scripts, spark code, and machine learning models.

https://techcommunity.microsoft.com/t5/azure-monitor-blog/how-to-analyze-data-exported-from-log-analytics-data-using/ba-p/2547888

Photo by Scott Webb on Unsplash. Security — If you think of Power BI authentication through Azure Active Directory (AAD), which is also a recommended standard for Synapse , you can easily imagine a scenario where security for Power BI solutions is being handled on a data -tier level within Synapse . This is especially important for Power BI ...

https://towardsdatascience.com/power-bi-and-synapse-part-1-the-art-of-the-im-possible-b561bb8f82ce