Systems | Development | Analytics | API | Testing

CAI stands for Continuous Application Improvement. It is a software improvement process that is implemented at each step of the SDLC, ensuring immediate feedback at each step rather than waiting till risk levels and impact has gone up. When you implement CAI you shift your improvement process as far left as possible and you catch software bugs and performance problems where they are introduced, eliminating countless hours of time spent chasing issues.

Let me start by introducing myself properly: I’m Renat Zubairov, CEO and Co-Founder of a Germany-based company elastic.io, part-time techie, part-time sales, full-time father of three. And I will be hosting a topic at the SaaStr Annual Braindates 2020. While working at our previous companies, Igor, Rico (the other elastic.io co-founders) and I realized how much of a challenge the traditional software business model posed for enterprises.

We are continuing our blog series about implementing real-time log aggregation with the help of Flink. In the first part of the series we reviewed why it is important to gather and analyze logs from long-running distributed jobs in real-time. We also looked at a fairly simple solution for storing logs in Kafka using configurable appenders only. As a reminder let’s review our pipeline again

Last September, the revised Payment Services Directive 2 (PSD2) went into full effect, shifting open banking from futurism to a regulatory requirement for retail banks. But the EU is not alone in wanting to open up consumers’ financial data via APIs (application programming interfaces) to trusted Third Party Providers (TPPs). Neobanks and fintechs have been marrying technology and customer data as a market-grabbing strategy, thus increasing their competitive edge.

“Software is eating the world” is no longer a hopeful vision. It’s happening. It’s here. Software is driving the world’s most important technological trends, and 2020 will prove to be an inflection point for several of them. Underlying the rapid pace of software transformation is another trend that has become immensely popular in itself. The rise of continuous delivery has enabled software companies to turn their ideas into reality faster than ever before.

It’s recently been announced that we've made the Gartner Magic Quadrant for the seventh time. What’s most exciting is that this year we're in the visionary quadrant. This means that Yellowfin is now recognized for being an innovator in the BI space. We bring products to market that other people follow and that have something different to offer customers of BI software.

A pillar of 3rd-Generation BI, “Democratization of Data,” is the critical first step in maximizing the value of your BI solution. But, this means more than just simply opening up the information floodgates. That is not a formula for success. There are several important things to consider when democratizing data throughout your organization. I’ve outlined five of those key considerations below.