Kumar Prateek

List of target databases or tools applications where data can be moved using Azure Data Factory  (aka. Azure Data Factory Connectors)   Azure Data Factory as we know is an PaaS (Platform as a Service) offering by Microsoft Azure. Which is known for its fully managed integration services. Which can also be called as serverless integration service as most of the other PaaS offering. With use of Azure Data Factory one can seamlessly integrate the source data source, perform the data transformation (if any) and load the data into a difference data store. Basically, it's a fully-managed ETL (Extract-Transform-Load) process/ tool in other words.     But most of us don’t know which are the data sources where Azure Data Factory can make connection with using there in built connectors. Well, there are more than 90 built-in,  maintenace -free connectors (as per Azure official documentation). And in this article, we will try to understand what are  those lists of conn...

What is Cloud Computing?     I am sure you much have heard tons of time about Cloud Computing and as few among us might be even aware of aware of this term as well. And one must not be surprised by that as this term had blown up the internet industry and everyone in past decade or so has been taking about it even if they know about it or not.     So, what exactly is cloud computing?      Well to understand that we have to understand how do internet work.     How internet works   Well internet is nothing but millions and millions of systems connected with each other and sharing data among themself. So, where do we need cloud computing in this. Internet is controller/ managed by multiple data centers and each data centers use to have numerous machines/ hardware. And anyone who need to consume the resource available in these data center need to pay for a complete machine up till a few decades ago, even though you need the complete machine c...

  API Aggregation Using Azure API Management         There are cases where we need to call multiple APIs from the client at the same time in order to proceed further with the processing from the client application. Now as oppose to calling those APIs individually  i.e.,  making separate HTTP requests for all those multiple APIs what if we can make one HTTP request and get all the responses aggregated in one response as opposed to multiple response isn't it going to be super cool.       So,  in this post we will try to understand how we can aggregate/ merge multiple API responses from the backend and provide one single request and response from the Azure API Management (APIM) to the calling client application.       To do this first of all we need to understand our APIs request body which we want to merge using APIM, so let say we want to call 2 APIs and  their   URI  are like this.       ...