Daniel Kim shares a two-part series exploring how to use Social Media, Azure Synapse & Power BI to make Insightful decisions with Social Media Analytics. Imagine you are a product developer for a healthcare company who wants to find trending topics around your recently developed product - or - you are a researcher for a company who wants...
Synapse SQL Serverless was built for large-scale data processing. The service provides fault-tolerance and enables high reliability even for long-running queries involving very large datasets.
Azure Synapse Analytics includes many features and capabilities, among those is the COPY command which makes copying data into a data warehouse very easy. This video will walk you though using the COPY command to import data into a data warehouse table for use by data consumers.
Today many organizations are cloud hybrid in nature so they need to read from and write to on-premises data stores including file systems and relational databases.
Most users of Azure Synapse Analytics will need to use it within a team environment, as such using source control to handle multiple users writing code and building processes in the service will be needed. Thankfully Synapse Analytics Studio includes built-in support for 2 of the most popular Git service providers – GitHub & Azure DevOps.
