This article is a continuation from Part1 which I posted earlier.

This is the part one article of the two part series with demo which explains analyzing data with spark pool in azure synapse analytics.

We are all aware that SQL is commonly used to query structured data but in Synapse Analytics we can use SQL to query unstructured data saved in files like csv, parquet etc., using OPENROWSET function and it is one of the many features that can be done using synapse analytics.

In continuation to our previous article in this article we will investigate how to create our first synapse workspace.

In Azure Synapse Analytics you will be frequently crossing over a term called SQL pools.

Azure Synapse Analytics is a single solution for all data needs like ingesting, processing, and serving the data.

Introduction: In this article we will check how we can copy new and changed files based on last modification date.

Introduction: In this blog, we will look into Azure Data Factory Triggers which is an important feature to scheduling the pipeline to run without manual intervention each time.

Introduction: The linked services in azure data factory have the option to parameterize and pass dynamic values at run time.

Introduction In this article we will look at our first hands-on exercise in Azure Data Factory by carrying out simple file copy from our local to blob storage.

As we all know that data is the new oil in the world, but it is more than that.

Introduction A lot of consumer data is being posted on social media every minute and social media analysis has become a critical component in audience analysis, competitive research, and product research.

Obviously you should have an active Azure subscription.

This article is an quickstart demo of how one can send or receive events from Azure Event Hub using python script.

Azure Stream Analytics is a fully managed PaaS (Platform-as-a-Service) and a real-time streaming service provided by Microsoft.

Azure Event Hubs is a highly scalable publish-subscribe PaaS service that can ingest millions of events per second with low latency and stream them into other applications.