Data is everywhere. As the sheer volume and number of data sources continue to explode, so do new opportunities for modern businesses to create and act on insights. That is if they are equipped with the right analytics technology. Historically, many businesses have settled for “good enough” analytics tools, putting up with lackluster bundles from full-stack vendors in an attempt to minimize cost or risk.

Before exposing your company’s APIs, your highest priority should be to assure the security, governance and reliability of those APIs. To do so, you’ll need to use an API gateway as a single secure entry point for API consumers rather than allowing direct access to APIs. Kong Gateway can help manage the full lifecycle of services and APIs as well as secure and govern the access to those APIs within an API platform.

For the modern enterprise, the focus on customer obsession—an endeavor shown by research to bring better revenue growth and customer retention—requires connectivity across all of an organization’s resources. Back in the day, the Enterprise Service Bus (ESB) was the primary provider of connectivity for a service-oriented architecture (SOA).

If you have been trying to compare all of the best data visualisation tools you may have found it difficult to find a detailed list that includes both open-source and proprietary solutions to help you compare and make an informed decision on what you need going forward. In this guide, you will find out everything you need to know about the leading solutions for data visualisation to help you get started with your next analysis project.

Python is one of the most in-demand programming languages in the world — and for good reason. Knowing how to code has never been so valuable thanks to the expanding world of tech and focus on data science. From landing high-paying jobs to improving your skillset, learning Python scripting can bring you many opportunities to succeed. However, while these opportunities are robust, many challenges come with learning Python.

Manually testing an application is time-consuming, costly, and difficult to scale as your application grows: as you add more features to your application, you have to add more functional tests. And getting those additional tests done usually means adding headcount. Automated functional testing can speed up the testing process, provide more consistent results, and give one person the ability to manage the testing workload of five or more manual testers.

If you're looking to scale up your manual software testing without hiring a whole team of in-house testers, there are several outsourced software testing services that use crowd testers to provide affordable results. Many of these providers look similar on the surface—most offer exploratory testing, some version of scripted testing, and claim to integrate into your team's workflow.

Project management is the process of completing the set objectives of a project, coordinating the team members, and ensuring that the right methods are used. Good project management involves working within the confines of a budget as well as time constraints and ensuring that the right people are working on the right areas.

The state of mobile shopping webinar presented a fascinating discussion for anyone working within this niche. And while we'd encourage you to watch back the recording, this summary blog post will give you the highlights and some of the crucial things we learned.