The Data Transformation Process Explained in Four Steps
These days, understanding the steps involved in the data transformation process is important, even if data transformation is not a primary part of your job. Because we live in a world where data is collected, stored, and analyzed in so many different formats, being able to perform the basic steps required to transform data from […]
3 Real-World Examples of Data Transformation
Data transformation is a buzzword you hear frequently in the age of big data (even though data transformation’s significance is not limited just to big data). And while it’s easy to define data transformation at a high level, understanding what data transformation means in practice can be trickier. If you’ve found yourself pondering what data […]
A Chief Data Officer’s 4 Imperatives for Achieving Data Intelligence and Driving Transformation
Data is one of the most valuable assets that a business can have in their digital transformation journey. It’s so important, that corporations will eventually formally recognize data as an asset on corporate balance sheets, alongside hard assets like real estate or inventory, and intangibles such as intellectual property or goodwill. It’s only natural, then, […]
ETL and Data Wrangling: Users, Data Structure, and Use Cases
When you’re choosing how you prepare your data before moving it into another repository, you want to make the right data management decisions. You have options available, two of which are ETL and data wrangling. Which is the right one for you? In this article, we’ll explore who uses each method, the types of data […]
Emerging Use Cases for Data Transformation
As the amount of information they receive or generate on a daily basis continues to increase at exponential rates, many companies are discovering new ways of capitalizing on the value hidden in their stores of current and historical data. The result has been the emergence of a number of innovative use cases that rely on […]