Chad Sanderson is passionate about data quality, and fixing the muddy relationship between data producers and consumers. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. Without data quality, your data initiatives will fail. Despite that, data teams still struggle to gain buy-in on quality initiatives from executive teams. Here's why: 1.

Migrating to BigQuery from Spark helped Statsig to develop new features for customers and help them run scalable experimentation programs.

Zero-code ETL tools – also known as no-code ETL tools – promise to help anyone create ETL (extract, transform, load) pipelines that drive success in today’s data-driven business environment. The following article reviews the pros and cons of using Hevo Data as a zero-code ETL platform.

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.

Fivetran CEO George Fraser and Snowflake CEO Frank Slootman sat with Data Cloud Now to discuss what they’re hearing from customers in their joint interview.

Data fragmentation and the growing volume of data sources and types are putting increased focus and importance on an organization’s ability to continuously organize, transform and cost effectively deliver real-time data to its entire organization through the cloud.

Is your business growing to the point where it’s critical to start learning from your data? It’s no easy feat figuring out where to start, especially if you don’t have a data team or the resources to hire one. While we all know that data has become the lifeblood of businesses, providing valuable insights that fuel decision-making and growth, getting started on the data journey is easier said than done.

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.