Databases are organized collections of data stored in a server or a system elsewhere and can be retrieved upon need. They can be managed and even updated as and when the need arises. This data can be in the form of texts, images, integers, or multimedia files. SQL uses a standard query language to manage relational databases. You must have heard of MySQL, PostgreSQL, Oracle, and Microsoft SQL servers.
Application Modernization projects often require their workloads to run on multiple platforms which requires a hybrid model. Kong Konnect is an API lifecycle management platform delivered as a service. The Control Plane, responsible for admin tasks, is hosted in the cloud by Kong. The Data Plane, totally based on Kong Gateway, can be deployed across multiple environments including VMs, Kubernetes, Docker, etc.
The banking and financial services industry is evolving rapidly with the advent of new technologies and digital platforms. To stay competitive, banks need to focus on providing superior customer experience to their institutional and retail customers. This should start with the initial Know Your Customer (KYC) process and continue through the entire customer lifecycle. Here are five keys to transforming practices for heightened customer experience in banking and finance.
How is the modern data stack evolving and what will it look like in the future? Experts from Andreessen Horowitz, Accenture and Fivetran weigh in.
Platform engineering is a growing field focused on building and maintaining the infrastructure that supports the development and deployment of software applications. What do developers need to know about platform engineering?
Learn what observability is and why it matters to Site Reliability Engineers.
The value of embedded analytics is unmistakable. Application teams that embed dashboards and reports drive revenue, reduce customer churn, and differentiate their software from the competition. While embedded dashboards create real value, they can also come with real costs. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market.
This is Part 2 of the Requirement Gathering Blog series by Rahul Parwal. We’d like to thank him for sharing his expertise with the community through this information-packed piece. In the Agile methodology, the requirement-gathering “phase” is not as rigid and formal as in the traditional Waterfall method.
Why and how Fivetran’s usage-based pricing model ties cost to value for our customers.
