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What is data transformation? Data transformation is the process of converting data from one form to another. The conversion could be changing the structure, format, or values of data. Data transformation is typically performed with the help of data preparation software.

The data warehouse software market is booming. According to a report by Yellowbrick, it is estimated that the size of this market will be over $30 billion by 2025.

Programming languages, just like spoken languages, have their own unique structures, formats, and flows.

Hybrid environments with clouds and on-premise systems make information technology (IT) delivery challenging.Organizations with multiple lines of businesses (LOBs) use multiple disparate software-as-a-service (SaaS) applications on top of existing legacy systems. These new applications become part of the IT ecosystem with little involvement from the internal IT team. As a result, businesses suffer from security issues and a lack of data intelligence. The way forward for these enterprises with a hybrid SaaS and on-premise applications lies in simplifying application integration. Businesses must adopt an integration platform as a service (iPaaS) software to aggregate, integrate, and manage cloud and non-cloud services reliably. iPaaS systems enable organizations to unify applications, integrate cloud data, manage application programming interfaces (APIs), automate workflows, and visualize business intelligence.

Consumers like to conveniently access data with devices they love.

Businesses manage a wide variety of data to run their operations effectively.

The story of the first business computer could not be more British if it tried.

This post is part of G2's 2021 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Michael Fauscette, G2's chief research officer and Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.

Keeping your database in good shape helps manage scaled systems and run operations without hiccups.

While working with disparate data, you need to organize, clean, and transform it to use it in your decision-making process.