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.

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.

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

In this guide, you will learn the advantages of migrating from Python to Go, common challenges, different approaches to migration, and two methods for migrating: manually vs. with the gopy package.

Enterprises rely heavily on SAP systems to drive business processes, manage operations, and make critical decisions in today’s digital landscape. However, ensuring these SAP systems’ robustness, reliability, and efficiency is no easy task. This is where the partnership between Cigniti and Tricentis shines, delivering SAP testing solutions that pave the way for unparalleled success.

The first quarter of 2023 was quite a rollercoaster ride for the banking industry, marked by not one but two of the largest bank failures in U.S. history. As a result, regional banks took a hit as well, losing nearly $200 billion in deposits in just one week, according to the Federal Reserve. Because regional and smaller banks in the U.S. make up over a third of total bank lending, any pullback in credit provisioning could undermine financial stability and growth. The bottom line?

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.

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.

Oracle Cloud’s quarterly updates require day-one testing on staging environments to keep up with the update’s general availability, which is critical to your business’ success. Tricentis Tosca provides fast, resilient, and risk-based testing to ensure your critical end-to-end business processes will continue to work as expected after Oracle Cloud updates go live.