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Guide to Looker and Machine Learning

Guide to Looker and Machine Learning

In the world of business, data is paramount to making informed decisions. Looker, a data platform that was acquired by Google Cloud in 2020, has been leading the charge in the business intelligence and data analytics space for over a decade. Its success is largely attributed to its smooth and easy-to-use interface, allowing users to effortlessly derive insights from data.

This blog post provides a guide to using Looker alongside machine learning techniques. By leveraging Looker's advanced analytics and machine learning capabilities, businesses can extract even deeper insights from their data and uncover hidden patterns that traditional data analysis methods might miss. The guide covers topics such as data modeling, ETL (Extract, Transform, Load) processes, and building a machine learning pipeline using Looker.

Whether you're new to Looker or a seasoned pro, this guide provides a valuable resource in leveraging machine learning techniques alongside this powerful data platform to unlock even more insights from your data.

The post Guide to Looker and Machine Learning was originally published on Master Data Skills + AI.

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