It’s no secret that today’s data environment is chaotic. Organizations everywhere have to deal with more sources of data, more data types, and more use cases for that data, in order to make mission-critical decisions with confidence.
The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate.
Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how live-streaming data might impact the sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s data-in-motion Business Unit.
Recently, we created the Sauce Labs Open Program Office to focus our attention internally on how we support and contribute to the open source community. Last week, we proudly launched a new web site with comprehensive information about the office, including best practices, contribution guidelines for the Sauce team, and a new blog where Diego Molina and Christian Bromann will write regularly about all things open source. This article is cross-posted from the new blog.
Back in 1977, an English mod/rock band called The Jam released a track called “The Modern World.” The same year also saw the dawn of the home computer, with the Apple II and Commodore PET 2001 going on sale at a time when the mainframe was going strong. Fast forward to 2020, and, despite many false claims of its death, the mainframe remains strong; however, to get the most value of from the data inside, mainframe modernization is key.
Even though only 11 years old, Node.js has emerged to be one of the most popular web development frameworks in the last decade. I’m a big Javascript fanboy, and thanks to Node.js, I can write Javascript code outside the browser to create server-side web applications that are non-blocking, lightweight, fast, robust and scalable.
As new advances in software development have allowed developers to increase their velocity and push out new software at ever increasing speeds, one less measured metric is software understandability. Although it probably seems obvious, when building new software the goal should always be to build software that is as simple and easy to understand as possible.
Working with Apache Kafka and real-time applications comes with challenges. Visibility into the deployed applications and their dependency on what we call the “data fabric” is one of them (For the sake of this blog, it means Kafka and all its state and configuration). If you’ve built a multi-tenant real-time data platform with Kafka, where teams are deploying applications outside your jurisdiction, this is where the pain is particularly acute. It goes something like this.
After a self-isolated and event-free spring, some of us around the world welcomed a more promising summer. You might be taking some time away on a socially distanced holiday. You might be taking some time away from the day-to-day at home. But if a cold beer in the sun isn't enough to make up for these difficult months, the premier event for the Streaming Data Community is back! Kafka Summit has gone virtual this year and that means you can attend the event from anywhere.
