Systems | Development | Analytics | API | Testing

The start of a new year is a great time for reflection, and, when I look at the progress organizations are making on their data journey, I’m feeling quite positive as we welcome 2022.

Many developers are interested in developing an application programming interface (API) for their startup. However, they don't know where to start and what mistakes to avoid. In this blog post, we will explore some of the most common errors made by API developers and how you can prevent them.

Here are 10 different ways to deal with difficult clients in 10 different ways according to agencies who have been down in the trenches.

In today's increasingly data-driven world, automation is a crucial skill for any professional. Data professionals can automate repetitive tasks and free up their time to focus on more valuable work. This article will discuss the four most common data automation techniques you can utilize in your own business and the automation tools that help your ETL process.

Nearly 85 founders and marketers share 20 actionable tips for setting and evaluating marketing budgets for small businesses.

Data warehouses help you run logical queries, build accurate forecasting models, and identify impactful trends throughout your organization. But, what goes into designing a data warehouse? Whether you choose to utilize a pre-built vendor solution or you're starting from scratch — you'll need some level of warehouse design to successfully adopt a new data warehouse.

Change data capture (CDC) is an essential feature to make modern data integration workflows faster and more efficient. By identifying which data sources have changed since you last extracted the information, CDC allows your data pipelines to only ingest the information they need. Rather than continuously polling an API, you can seamlessly perform data replication and integration.

In the ever-changing business landscape, companies are becoming more reliant on their data than defining the Business Use Case ever before. With a greater reliance on data, it’s essential that businesses become aware of these two concepts: data modeling and data architecture.

From marketing agencies to SaaS and eCommerce businesses, nearly 100 professionals share when to prioritize acquisition vs. retention marketing.