Data integration is a vital practice for organizations seeking to leverage the wealth of information available to them. To achieve this, it's crucial to establish a seamless method of sending data from multiple sources to a centralized repository, such as a data warehouse. One commonly employed solution is SFTP (Secure File Transfer Protocol). In this comprehensive guide, we'll delve into the details of SFTP, explaining what it is and how to configure it securely for file transfers.

There are a few universal truths modern quality assurance (QA) teams have to acknowledge. While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertise.

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.

In my first post of this new blog series, I introduced the concept of “sliding doors” for creating value with data: the divergent paths that organizations can take which can lead to great - or not so great - outcomes. In this post, I want to explore this for what has become a new data imperative for organizations today: effectively reporting their environmental, social and governance (ESG) data to meet new regulations.

Learn how the largest US independent performance marketing company manages nearly $3 billion in media spend for its clients.

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.