Two days of cutting-edge talks, networking, and insights into the future of Big Data and AI. Check out our full recap to see what we learned!

For a home goods retailer, embedding purpose-built AI reduced manual workflows by 68%, eliminated SEO errors entirely, and redirected 80% of capacity toward customer journey optimization - proving that scalability and strategic agility aren’t mutually exclusive.

Get the most out of Apache Spark! Learn how to manage data skew, optimize joins, and control partitioning dynamically during query execution.

Snowflake, Databricks, or BigQuery? Compare top cloud data platforms and choose the right fit for your data strategy.

Why choose BigQuery for your data platform? Discover 5 key reasons why it’s a smart, scalable, and cost-efficient choice.

The article explores how to optimize BigQuery jobs by minimizing data shuffling, a resource-intensive process in distributed data processing frameworks.

Learn how we create a culture of open dialogue, balanced feedback, and professional development that benefits both employees and candidates.

This article highlights how the Datumo team spent the day at Google Cloud Summit 2024. Keep reading!

This blog explores the representation, storage, and processing of semi-structured data in BigQuery, focusing on the benefits of Google Cloud Platform services for data engineers, analysts, and data scientists.

The edge machine learning, or ML@Edge for short, is an innovative approach poised to revolutionize the landscape by decentralizing computation, placing it closer to the data source. This article seeks to delve deeper into the intricacies of ML@Edge approach using Azure Cloud, explaining how this intersection tackles the challenges posed by traditional computing and unlocks a new era of edge intelligence.