The five reasons why data integration is a critical element for data analytics are: According to research by IDC and Tableau, 83 percent of CEOs say that they want their company to be “more data-driven.” The study finds that data-driven organizations have observed many positive impacts, from faster time to market to more new customers. Of course, becoming a truly data-driven company is easier said than done—and data analytics is the way to do it.

Product owners enable data teams to serve your organization’s data needs. Learn to understand and measure their efforts.

Trying to determine what applications your organization needs? The application integration question can be a challenging exercise. According to a recent study, only 30% of companies succeed at digital transformation. Their lack of innovation proved one key point: companies must be agile and quick enough to implement new technologies if they wish to remain competitive.

What does it take to be successful in the world of data? We asked DJ Patil, one of the most influential data scientists in the world and guest keynote speaker at the 2023 Modern Data Stack Conference.

Joint customers can move faster with more visibility across their entire data stack, helping data teams collaborate better with increased trust in their data.

You'll need to understand the six key components of a data pipeline and overcome five important technical challenges.

Make your customers comfortable opening their data to you with data pipelines that feel like they’re part of your product.

The data lakehouse is a promising new technology that combines aspects of data warehouses and data lakes.

Learn how Fivetran solution architects are supporting customers with implementing robust and scalable data platforms.

Just one pre-written line of code for each data source is all that is needed to orchestrate automated data ingestion effectively.