Cloud FinOps is more than a cost-cutting tool; it’s a cultural and operational shift that enables organizations to bring accountability, visibility, and continuous optimization to cloud spending. In this first part of our five-part series, we break down the foundations of Cloud FinOps and share actionable steps to help your teams take charge of cloud financial management.

Demand Forecasting with BigQuery ML for Inventory and Supply Chain Optimization

Real-Time Campaign Optimization Using BigQuery and Looker

Advanced Techniques for CDC with Snowflake

Automating Legal Document Summarization with TensorFlow on Google Cloud: Solving the Challenges of Time-Consuming Legal Research

Sales Forecasting with BigQuery ML (BQML) for Smarter Business Planning

Optimizing Product Recommendations with BigQuery ML for E-commerce

Sentiment Analysis Using BigQuery and Vertex AI

Fraud Detection and Risk Management with BigQuery ML: The Ultimate Guide

Customer Segmentation with Looker and BigQuery for Personalized Marketing

Predicting Customer Churn with BigQuery ML: Strategies to Boost Retention and Drive Growth

Propensity Modeling Using BigQuery Machine Learning

Introduction to Looker and Big Query for Marketing Analytics

The Power of Looker with Generative AI

Looker and Slack Integration: A Seamless, AI-Driven Approach

Looker Health Checks: A Guide for Data-Driven Teams 14

Quick Guide to Setting Up a Data Pipeline on GCP

3 Simple Steps to Migrate Your Database to GCP

Top 3 GCP Tools Every Data Engineer Should Know🔧⚙️

Google Cloud Storage (GCS) is an essential tool for data engineers, offering a versatile, scalable, and secure solution for managing the ever-growing volume of data. As a unified object storage solution within Google Cloud Platform (GCP), GCS allows for the storage and retrieval of any data type, from unstructured data to images and big data analytics, at any scale, anytime, anywhere.