Google announced it is adding more than 100,000 datasets from the cloud, in addition to the original 50,000 from its Data Lab.
The company said today that the new tools will help developers better understand the data they’re generating, and the tools are designed to help users get the most out of their data.
Users will be able to use Google’s Data Lab to create visualizations of data in real time, analyze data and share the data to help solve problems and get more data.
Data Lab will also help developers learn about the data, and will be integrated with Google Cloud Platform, which Google announced today.
“The Data Lab is a powerful tool that is helping developers to understand and make use of their massive data set,” Google said in a blog post.
“It’s been designed to give developers a powerful way to make use, and help them understand and share their data.”
In a blog update, Google said it will also continue to add new datasets for use by users, and added that it plans to continue adding more datasets to the database.
Google said that more than 50,800 data sets will be added to the Data Lab over the next year, including more than 4,500 datasets from Google Cloud, and nearly 1,300 datasets from other cloud providers.
The DataLab data can be viewed by searching “data,” “cloud,” “datasets,” or “datamining” in Google search results.
Data can be imported into the DataLab, and data can also be exported from the DataLabs.
Google added that Data Lab users will be encouraged to share their datasets with others, so that other developers can learn more about the datasets they’re creating.
“DataLab users can share their dataset data to other developers to see what the datasets look like in their projects,” Google wrote.
“DataLab’s collaborative data analysis tool will be an excellent resource for developers and data scientists alike.”