Enhance Analytics workflow with Gemini AI

Data teams spend time ingesting structured and unstructured data, organising it for analysis

They would obviously much rather conduct insights-led decision making and higher-value analysis

The low-code data preparation tools, automatic code generation features, and natural language-based experiences simplify high-priority analytics workflows

BigQuery now offers AI-augmented data preparation, which assists users in cleaning and organising their data

They are giving users the ability to reconstruct old BigQuery pipelines or create low-code visual data pipelines

The majority of data analytics workflow begins with exploration, which includes selecting the appropriate dataset

This step can be laborious and time-consuming, particularly if you’re a new team member or you’re working with a fresh dataset