In the previous blog, the Yellowfin Japan team used Yellowfin's Data Transformation Flow feature to create a database of the CSV file of order history data. In this article, the team will demonstrate how to leverage the database for analysis by processing and formatting said data using native Yellowfin features, including View and Report Builder.

In the constantly changing healthcare environment, smooth data exchange is not just a luxury; it is a vital necessity. Integrating patient records from Electronic Health Records (EHRs), clinical data repositories, and other healthcare systems unlocks valuable insights, empowering providers to deliver personalized care, fuel groundbreaking research, and streamline operational efficiency.

Generative AI was undoubtedly the most important data moment of 2023, and created a level of excitement for our industry that will certainly continue to be felt in 2024. As we welcome the new year, I am thrilled to share that Qlik is hitting the ground running on that front: today we are announcing the acquisition of groundbreaking technology from Kyndi, an innovator in natural language processing, search, and generative AI.

A new BigQuery view that leverages the recent FOCUS specification to help simplify cloud cost management across clouds.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

Generative AI is a powerful tool for rapidly creating and iterating on content of all kinds.

The sheer breadth of data that telecommunications providers collect day-to-day is a huge advantage for the industry. Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry. The speed with which generative AI will change how we work, live, communicate and entertain ourselves is nearly unfathomable.

In an era where data integration forms the backbone of modern digital ecosystems, effectively mastering REST APIs is crucial for any data engineer to ensure efficiency and reliable data transfers. Our 5 key takeaways from the article on REST API best practices for data integration are.

Are you a ThoughtSpot enthusiast? Maybe you built a liveboard that saved your department hours each work week, or perhaps you figured out a unique way to gamify adoption across your team. You put in the hard work, now it’s time to show it off. ThoughtSpot User Groups were designed to help users connect—a place where you can share stories and get new ideas to empower your organization with data.

Sense is a talent engagement platform that improves recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.