A data wrangling solution that offers self-service capabilities, combined with automation and orchestration to streamline data pipelines and provide centralized governance, can help all stakeholders ...

It also includes analytics tools to help data scientists figure out what's included in a dataset. Pendleton can read data from SQL Server, Azure Blobs, and Data Lakes.

Data preparation, or "data wrangling," has historically been the biggest bottleneck in any analytics process—taking up more than 80% of the time and resources in any data project. However, new ...

A startup called Numbers Station is applying the generative power of pre-trained foundation models such as GPT-4 to help with data wrangling. The company, which is based on research conducted at the ...

Redgate SQL Search extension is now available on Microsoft’s cross-platform database management tool SQL Operations Studio.

Data wrangling is a data clean-up service in the same market as master data management, data governance, deduplication and similar products and services.

Trifacta has announced updates to Trifacta Wrangler, which was first launched in 2015. A freely available community version of Trifacta's enterprise product, the company says, it is often the first ...

“Data wrangling” being borrowed from BI is important, because data is messy. While the focus is often on B2C, we should not forget that B2B is important. Machine learning will be leveraged by ...