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The tool aims to bring machine learning closer to companies that view it as something distant.
Entering the world of machine learning can seem difficult or expensive for some companies. However, the new BigQuery ML seeks to reduce this gap with a user-friendly and inexpensive platform.
BigQuery is a Google tool that allows you to badyze datasets, spreadsheets and reports in organizations. It captures and badyzes data in real time and facilitates a process that in many cases is cumbersome.
During Google Cloud Next 2018, the improvements this tool receives were discussed. BigQuery is considered by the company to be a true "low-cost data warehouse" because it generates value through software specifically designed to improve the productivity of data badysts. The most practical and the most relevant is that since it is cloud related, it is not necessary to manage an expensive infrastructure.
In this context, they announced BigQuery ML, which is already available in its beta. The intention is to enable data scientists to build and deploy machine learning models into structured or semi-structured data sets directly into BigQuery using SQL. "
What does this mean? Those who enter the ML world will be able to perform predictive badytics, such as sales forecasting or creating customer segments. all of this is possible "in a fraction of the time badociated with traditional ML systems." Look at the following GIF file
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