Google Releases Data Visualization Tools

Google officially released data visualization tools, providing more than 500 data sources, mainly for free!

The data visualization tool Data Studio released by Google in 2016 and Cloud Dataprep, a data pre-processing service released in 2017, are now officially available.

Data Studio is a free visual reporting tool that was released in beta in 2016. After 2 years of development, it is now finally available as an official version. Data Studio is part of the Google Marketing Platform and is closely integrated with the Google Cloud Platform. Users can read and analyze more than 500 Google and non-Google data resources, including Google Analytics, Google Ad and Google BigQuery, with simple operations. data.

Google continues to update the functions of Data Studio. Recent major feature updates include Explorer, data mixing, and Google Marketing Platform reporting library. The detector allows users to complete the troublesome work of data merging with a simple mouse click, which speeds up the analyst's workflow and is more friendly to non-technical users. Data blending allows companies to check multiple visual analysis results across data sources on a single screen. The Google Marketing Platform report library can create special reports. This function provides a series of report templates, allowing users to quickly integrate data and produce professional reports with rich information. Google Marketing Platform users can also read Data Studio reports from various products on the platform, including Analytics, Optimize, and Tag Manager.

Now that Data Studio continues to join the update, it is announced as the official version, and in order to pay attention to the development of the community, Google has also developed a community connector, allowing users to connect different data sources and customized report templates, in addition to being able to produce company-specific reports And can easily share solutions. Google believes that these features will help develop the overall ecosystem and make Data Studio more accessible to more people.

In addition to Data Studio, Cloud Dataprep, released at the 2017 Google NEXT conference, is now officially available. Generally speaking, data errors, anomalies and inconsistent formats will result in poor analysis results. Therefore, although data cleaning and preparation are tedious, it is a very important stage so that subsequent cloud analysis tools such as BigQuery or Google Cloud Dataflow , The function is maximized. Cloud Dataprep is a serverless visual data processing service that can automatically identify the Schema and shape of uploaded data for machine learning or further analysis.

Cloud Dataprep launched the official version this time, improving the appearance. The landing page will now display the most recent activities, and it is also more friendly to new users. You can get started faster with the help of novice guidance. In addition, this version provides better collaboration capabilities. Teams can now work together on data processing. By sharing workflows, reusing data samples, they can even check and review members ’work progress. For business analysts, Cloud Dataprep also provides Pivot and Union functions in calculation tables to improve data sources, such as target schema matching or parameter-based data set processing.

Since Cloud Dataprep is a serverless service, all new features are now available immediately, and new users can start exploring and cleaning data through the operation guide