The value of data is no longer debatable. But the secret to unlocking that value still evades many organizations. Only 44% of data and analytics leaders think their teams are effective in providing value, according to a new Gartner® survey. And business users are still struggling, too, citing accessibility issues and complexity as barriers to data use. Combine this with low executive confidence in data, and it’s clear that data challenges are ubiquitous.
More than ever, companies are competing based on their ability to deliver exceptional user experiences. It can take less than 60 seconds for a busy consumer to try one company’s website, get frustrated, and jump to the site of a competitor. And customers may stop using a business altogether if they discover that it has given their personal data to some third party without permission. Such flawed digital experiences can quickly compromise brand loyalty and cut revenues in the process.
Despite the growing popularity of NoSQL databases such as MongoDB and Firebase among JavaScript developers, SQL databases remain a reliable and widely used tool for storing data. This tutorial will show you the basics of SQL databases and how to use them with Node.js.
Elasticity is far from a solved problem – especially for transportation and logistics companies providing realtime updates. Prior to 2006, startups finding sudden success had to drive – often in a hurry – to a store like Best Buy to purchase new servers and support an unexpected surge in users.
Today, we raise our virtual glasses to toast the 18th anniversary of WSO2 – a company that has redefined the realms of software development and innovation. From its humble beginnings to becoming a global force, WSO2 has stood the test of time, consistently delivering game-changing products that drive success for countless organizations across the world. So, join us as we take a captivating journey through WSO2's milestones, uncovering 18 fascinating facts!
One of the most common operations in Python is splitting strings into lists based on a specified delimiter. However, when using split(), you may encounter the error List Index Out of Range. This guide will unpack what this error means, why it occurs, and some common strategies to prevent it.
Intelligent process automation (IPA) isn’t for everyone. Let me explain. Intelligent process automation is meant for large-scale digital transformations. So if you're looking to make small changes at the margins, like automating simple tasks, IPA probably isn't for you. IPA is better suited to large organizations with lots of data that want to streamline complex, enterprise-wide processes—to digitally transform their workflows, top to bottom.
