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
Gemini provides intelligent recommendations for optimisation by analysing your workflows and data
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