Data Transformation is the process of converting unstructured or semi-structured data into a more usable format for analysis or to support decision-making. Simply put, data transformation is about taking data that exists in a variety of different formats and making it usable for a specific purpose.
When you have data coming from a variety of places and in different formats, you need solutions to transform that data so that it can be understood and used easily.
For example, let’s say you’re working with a data set of product sales data. In this data set, each product is described with a single column of data containing the product name. This is a fine example of structured data since each column has a specific data type and definition.
However, let’s say you want to use this data to identify which product categories are performing best. In order to do this, the data must be converted into multiple columns that contain the product name, product category, and sales amount. This is an example of data transformation.
Why is Data Transformation essential?
Data comes in many forms and is collected in many different ways. This means that when you’re using it for business purposes, it often needs to be transformed into a structured format that’s easy to understand and use. Other fields where Data Transformation is of interest are Data Science and, of course, Data Engineering.
This is why data transformation is so significant. It’s the process used to bring unstructured and semi-structured data into a format that is easy to analyse and interpret. Otherwise, the data might not be usable for what you’re trying to accomplish. This is important for businesses that want to use data for analytics and other business functions.
If you want to gain insights from your Data, you’ll need to do Data Transformation in one form or another. Our experts have a lot of experience in getting you started with Data Transformation. Besides our Data Transformation services, we also offer the following services:
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