Many organizations are moving their data to cloud-based environments, but it’s a transition that cannot be done in one fell swoop, and for some, a transition that won’t ever happen completely. This means that most organizations manage multiple data environments—a mix of on-prem, private cloud, and public cloud solutions—also known as a hybrid cloud environment. In a 2017 study of IT professionals, 85 percent of enterprises confirmed they were pursuing a multi-cloud strategy.
Data Wrangling in a Hybrid Cloud Environment
Data wrangling—discovering, structuring, and cleaning the contents of data for various analytic outputs, or what we call data wrangling—has long been considered the most challenging part of analytics. Organizations typically report that 80% of any data project is spent wrangling data, while only 20% is left for analysis.
In a hybrid environment, however, the the challenge is complicated due to the need for data consistency across both cloud and on-prem environments. Analysts don’t want to have to think about how to manipulate data in different ways across different environments, and shouldn’t have to create different processes for different environments.
What analysts need is a common interface for data wrangling that is intuitive enough to limit IT intervention, while maintaining secure management. What organizations should seek is an interoperable data wrangling technology.
The Value of Interoperable Wrangling in a Hybrid Cloud Environment
Trifacta was built to wrangle data seamlessly, across all environments. This interoperability provides substantial value to today’s data-driven organizations, including:
Common Metadata: Metadata is “data about the data” and needs to be consistent across all computing environments. Differing or conflicting metadata can be a roadblock to analysis, but an interoperable application like Trifacta uses a common framework and language for managing metadata, no matter where it is housed.
Uniform Wrangling Logic: Organizations can use a variety of languages to create transformation logic. But when different languages are used, the potential for errors and inaccuracies rises dramatically. By utilizing a single language to prepare transforms and wrangle data across environments, logic can be saved, shared, and reused.
Common User Experience: Interoperable solutions provide a user experience that remains consistent across computing environments and presents all data uniformly. The significance for the team? Not only does this mean getting away from custom scripts, but interoperable technology like Trifacta also enables end-users to only have to learn one technology. It’s easier for analysts to learn and use, allows for more team members to implement, and ultimately leads to a faster analytics process.
Interoperability Equals Flexibility
An interoperable data wrangling technology ensures seamless data wrangling across multiple computing environments. But it also gives organizations another huge benefit: the freedom to be flexible with its chosen data environments. By investing in a single wrangling technology for business users that supports multiple environments, organizations can choose the best cloud/on-prem data environment mix they need, now and in the future.