With custom holiday modeling features, BigQuery users can build more powerful and accurate time-series forecasting models using BigQuery ML.

Struggling to retain customers? Get tried and tested tips on how to reduce customer churn from experienced professionals from the SaaS industry.

Step right up, ladies and gentlemen, and witness the grand spectacle of the digital age! In a world where data is king, where information reigns supreme, and cloud data warehouses are multiplying like rabbits, there's a technology initiative like no other— Data Warehouse Modernization! This article is the second in the series "Seven Data Integration and Quality Scenarios for Qlik and Talend," and answers everything you wanted to know about Data Warehouse Modernization but were afraid to ask.

In today's volatile economic landscape, businesses of all sizes face the looming threat of a recession. The challenges brought on by economic downturns can be daunting, but they also present opportunities for innovation, resilience, and growth. As businesses brace themselves for the uncertainties ahead, one key factor emerges as crucial to their survival and success: the ability to make informed financial decisions and access capital. This is where data integration technology becomes a game-changer.

It’s a common thread amongst data-driven organizations: data teams face soaring volumes of data with varying complexities, which raise issues regarding data reliability. Efficiently monitoring data pipelines has become paramount to swiftly identifying and addressing potential data incidents, ensuring minimal impact on data practitioners and end users.