This is part three of an occasional series on data governance (DG) and its enabling technologies. In parts one and two I gave an overview of what data governance is and how it might be undertaken; in this blog, I talk about business glossaries--one of the key DG-enabling technologies--and how to create one.
We’re proud to announce a new partnership with LimePoint, an Australian API and integration service provider, through our Go-to-Market (GTM) Partner Program! Together, Kong and LimePoint will help Australian organizations accelerate their transition to microservices, service mesh and other modern architectures with Kong Enterprise.
The ability for cloud data warehouses to provide a single platform that enables organizations to analyze data at any scale is a market changing capability. Sure, much has been made of the ability of applying Artificial Intelligence (AI) to this data to gain insight into new areas, ultimately to increase an organization’s competitiveness. There is however a greater level of impact that this architecture can have that can be independent of AI and ultimately inclusive of AI.
When it comes to automation in the BI industry, I think a lot of vendors are holding back. It’s entirely possible to automate the majority of what data analysts do today, but vendors are reluctant to do this because it would impact data analysts and they’re a big gatekeeper in the buying cycle of analytic software.
Today we hear from Aditya Bhargava, Solutions Architect and agile coach at Guidion, on how the company is using the Google Cloud’s Apigee API Management Platform to transform the Dutch solar panel and communications equipment installation landscape. Read more to learn how Guidion uses APIs to deliver technical services in and around the house, bringing happiness to seven customers every minute.
Hello again! It’s a historic week here at AppSignal! This week we released the first version of our new and improved JavaScript error monitoring. Now you can have your front end code, Ruby or Elixir back end code, your hosts, performance, everything monitored in one interface. To celebrate the launch, in a two-part series of posts, we’ll be taking a look at the history of Errors in JavaScript, including how to handle them in your code today.
In January, I’ll start a new game: ask a company to retrieve all the information they have about me in less than 45 days. One of the requirements of CCPA, is to be able to reply to a customer request to have access to all the data you have about them in less than 45 days. These are called the Verifiable Customer Requests. You may be able to complete 10, 20 replies. But what if you received 10 every day? What does it take to keep your customers happy and being compliant?
We are very excited to announce that Unravel is now available for Google Cloud Dataproc. If you are already on GCP Dataproc or on a journey to migrate on-premises data workloads to GCP Dataproc then Unravel is now available immediately to accelerate and de-risk your Dataproc migration and ensure performance SLAs and cost targets are achieved.
Good news, everyone! Today, we’re proud to announce the launch of our fully-fledged JavaScript error tracking for your front-end applications. From today, you’ll have even more complete insights into your Ruby and Elixir apps — your back-end errors, performance metrics, host metrics, custom metrics and your front-end errors can now all come together under a single interface.
