Google’s Cloud Next Conference this year has been replete with announcements. From Firebase integrations to new GCP regions, the company has rolled out a bevy of tools to increase the usefulness of its cloud platform. Along the same, the company has introduced a bunch of new tools to help users with data preparation and integration.
First off is a new private beta version of the Google Cloud Dataprep. As the name implies, Dataprep is a service that allows the tedious process of data preparation to become more visual. By deploying machine learning techniques, the tool makes anomaly detection and data transformation that improve the quality of data possible.
Google has also gone for an interface overhaul. The company has introduced control through drag-and-drop. The Dataprep tool is quite well integrated with the Google Cloud Plaform as well, so stuff like pipelining and export to BigQuery shouldn’t prove to be a problem in the slightest.
Google also introduced a brand new BigQuery Data Transfer Service, which seeks to make the process of merging data from several different sources, simple. It goes without saying that since everything is based on machine learning, the data merging capabilities will only get better with time.
What’s more, Google has also added support for support for Cloud Bigtable for larger projects so that users are able to quickly copy data from one system to another. The main aim here is to ensure that marketing analytics can easily be built on the platform. Users can also create analytics by connecting their databases with visualization services like Tableau.
Finally, Google has announced the general availability of its Python SDK for Cloud Dataflow. This is pretty important as it will see the community expand beyond Java and into a language that is quite well known for its rapidly increasing userbase.
