Microsoft Azure is a wonderful cloud computing platform and an online portal that allows you to access and manage every kind of cloud services and resources provided by Microsoft. These services and resources include Storage, transformation, Load Balancing, Auto Scaling , depending on your requirements. To get access to these resources and services, all you need to have is an active internet connection and an azure subscription.
For learning purpose you can use free trail Subscription for one month where you have 200 $ for that duration. The services in free trial are based on resource and region availability. …
In the Part1 we came to know about the basics of Azure Data Factory and also about the Copy Data Pipeline that helps in data movement for multiple sources and destinations. Azure Data Factory provides a convenient environment of drag-n-drop and managing different activities for data movement, transformations and dataflow ingestion.
In this post, we will make a look at Get Metadata Activity. How does it works? Where can we use them? And how do we use them with for-each loops to iterate over multiple files from a Directory.
Now with the help of Get Metadata Activity our task is…
Missing values are everywhere in real world Datasets and the first thing one have to do after receiving the data is feature engineering to deal with the corruptness of Data. Imputing the missing values are always very first step towards Feature Engineering as without that there is no further analysis can be taken forward.
Our motivation is to introduce a method of imputation which can handle any type of input data and makes as few as possible assumptions about structural aspects of the data.
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