Systems | Development | Analytics | API | Testing

As a cloud service provider, observability is a critical subject as it's strongly related to the availability of the services running on the platform. We need to understand everything that is happening on our platform to troubleshoot errors as fast as possible and improve performance issues. A year ago, while the platform was still in private beta, we faced a tough reliability issue: users were facing random 500 errors when accessing their applications.

Software engineering is an exciting field that offers various roles and responsibilities to individuals. Some prominent roles are developer, quality assurance engineer, project manager, product manager, DevOps, and many more. Each of these roles also has sub-roles. For example, we have front-end, back-end, and full-stack developers in development. In testing, we have manual testing, automation, unit testing, and end-to-end testing.

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Chief Data & Analytics Officer UK (CDAO UK) is the United Kingdom’s premier event for senior data and analytics executives. The three-day event, with more than 200 attendees and 50+ industry-leading speakers, was packed with case studies, thought leadership, and practical advice around data culture, data quality and governance, building a data workforce, data strategy, metadata management, AI/MLOps, self-service strategies, and more.

Are you efficiently unifying, modeling, analyzing, and activating all the data you need to drive impactful marketing campaigns and customer experiences? For years, marketing teams have struggled to operate from a single view of the customer and their business, essential to powering personalized experiences and measuring impact on key KPIs such as sales, growth, and profitability. Today, only half of all marketers have a unified view of the customer.

If you’re looking for ways to improve customer satisfaction, experience, and loyalty, you need to focus on how customers are using and adopting your product. For this, you’ll need to focus on your user funnel, sometimes referred to as a conversion funnel. In this article, we’ll show you seven ways that user funnels can improve some key areas of your business to boost all of the above!

In 2022, digital natives and traditional enterprises find themselves with a better understanding of data warehousing, protection, and governance. But machine learning and the ethical application of artificial intelligence and machine learning (AI/ML) remain open questions, promising to drive better results if only their power can be safely harnessed.

Data fuels the growth of any modern organization, but what happens when the fuel goes bad? The growth stops. Data-driven enterprises rely heavily on their collected information to make important business decisions, but if this information contains errors, the organization may have to suffer huge losses. In 2021, Gartner reported that organizations incur an average loss of USD 12.9 million due to poor-quality data.