Azure Synapse Analytics (formerly Azure SQL Data Warehouse, or SQL DW) is Microsoft’s cloud-based Platform-as-a-Service (PaaS) for massive, structured relational databases. Deploying Tableau Server on Microsoft Azure as well as utilizing services such as SQL Data Warehouse, and SQL Database allow organizations to deploy at scale and with elasticity, while allowing IT to maintain data integrity and governance. With Azure Synapse, Microsoft aims to bring together both data warehouses and data lakes in order to provide a single service for collaboration, building, managing, and analyzing the information. Each level contains the objectives delivered through articles, labs and tutorials. Microsoft proclaimed at Ignite that ‘Synapse can access data wherever it is’. Synapse Analytics offers petabyte-scale due to its distributed architecture and use of parallel processing. Azure Synapse. This article contains the Synapse Spark … Continue reading "Azure Synapse Analytics – the essential Spark cheat sheet"

It is the third in our Synapse series: The first article provides an overview of Azure Synapse, and in our second, we take the SQL on-demand feature for a test drive and provided some resulting observations. AtScale’s Intelligent Data Virtualization supports the access of data regardless of cloud provider, on-prem, vendor, etc. BigQuery vs. Azure Synapse Analytics: comparing cloud data warehouses. We'd like to try out Synapse for Data Analsysis. Azure Databricks provides a premium spark interface. Azure Synapse ... while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud,” Microsoft said. We have an old SQL server running SSRS and cubes, we'd like to migrate a relatively small Database from on-prem to Azure and leverage Synapse to build PowerBI reports. In this Learning Path for the Azure Synapse (Formerly Azure SQL Data Warehouse), you are provided with various online resources in a structured learning format.

In this article, I take the Apache Spark service for a test drive.

Azure Synapse provides on-demand spark and SQL interfaces to quickly explore and analyse several datasets.

Among modern cloud data warehouse platforms, Google BigQuery and Microsoft Azure Synapse Analytics have a lot in common, including columnar storage and massively parallel processing (MPP) architecture.

What they mean is anywhere in Azure (i.e., Azure Datalake, SQL/DW, etc.). As Microsoft pursues its cloud-first strategy, Tableau delivers key integrations with Azure technologies. By joining the respective Azure Active Directory group (AAD) access to different parts of the system can be automated subject to approval.