Onstage today at Google’s Cloud Next conference, the company announced a series of new tools to assist users with data preparation and integration. The updates bolster both the power and agility of Google Cloud for businesses.
The first of these releases is the new private beta of Google Cloud Dataprep. Dataprep makes the data preparation process more visual. The tool includes anomaly detection and employs machine learning to suggest data transformations that can improve the quality of data.
In an attempt to democratize the process, Google prioritized cleanliness of its interface, opting to enable control via drag-and-drop. Dataprep is optimized to be integrated with GCP, meaning it can create pipelines in Google Cloud Dataflow for easy export to BigQuery.
BigQuery itself also got attention from Google, with a new BigQuery Data Transfer Service. The idea behind the release is to simplify the process of merging data from multiple sources. These capabilities increase with support for commercial data sets from Xignite, HouseCanary, Remind, AccuWeather and Dow Jones.