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What is data quality, why does it matter, and how can you improve it?

We’ve all heard the war stories born out of wrong data: These stories don’t just make you and your company look like fools, they also cause great economic damages. And the more your enterprise relies on data, the greater the potential for harm. Here, we take a look at what data quality is and how the entire data quality management process can be improved.

Deployment Patterns for API Gateways Within a DMZ

A DMZ – Demilitarized Zone – is a military term, roughly summarized, as an area between two adversaries established as a buffer in order to reduce, or eliminate, the possibility of further conflict. In networking, the term usually refers to an area that acts as a buffer between two segregated networks. Here is a simplified visualization.

Listening to the Customer in the 21st Century: It's All About Data

The customer has never been more right. Across industries, customers have become conditioned to demand not only near-instant responses to their needs but that their needs be anticipated in advance. Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. The customer still has expectations for a personalized, timely, and relevant experience.

The New Face of Secure Data Collaboration: Transforming Government with the Data Cloud

The push to embrace cloud-based technologies has undoubtedly transformed IT infrastructures at every level of government. Federal, state, and local agencies have made significant strides in modernizing how data is collected, stored, and analyzed, all in service of their mission and in fulfillment of strategic IT mandates.

Taylor Brown and George Fraser, Co-Founders of Fivetran, keynote the Modern Data Stack Conference

Throughout time data has improved the way we approach problems, find new discoveries, and make decisions. The technology that powers the creation and analysis of data hasn't always been reliable or simple to use, leaving some organizations ahead of others. This is disparity between the haves and have nots of data is changing due to the modern data stack. In this session, Taylor will give us a warm welcome and George will explain the impact of the modern data stack for analytic teams and how it is becoming as simple and reliable as electricity.