Real estate is a quickly changing industry. It depends on up-to-date data more so than nearly any other vertical, apart from maybe finance. As properties are sold, listings vanish in the blink of an eye. If a real estate agent or app has too many dead listings, customers will quickly grow impatient and move along. Read more
Real-time data for business is powerful. It lets you stay ahead of the curve, acting on insights as they occur. It gives business owners a competitive advantage, which can mean the difference between turning a profit or reporting a loss.
Take the impact of real-time data in the telecommunications industry, for example. Read more
Perhaps one of the most important elements of any implementation leveraging data is the actual modeling of the data itself. Data is only useful when it’s understood and contextualized – when it’s ultimately either shared or made into information. Failing to actually model this data in an understandable way is damaging, and can seriously hamper any effort to develop a product. Read more
Back in 2006, Google discovered that an extra 500 milliseconds of latency could drop traffic by as much as 20%. That was twelve years ago; now web users expect faster responses than ever before, and as an API practitioner, it’s your duty to make that happen! Read more
Above all else, API communication is really a negotiation between the client and the server. Once we clear all the dust, this basic communication underlies every protocol, architecture, and approach. These negotiations are often complex, and deciding who has the responsibility for what aspect of this negotiated communication is an age-old conversation. Read more
