A common perspective that I see amongst software designers and developers is that Machine Learning and Artificial Intelligence (AI) are technologies which are only meant for an elite group. However, if a particular technology is to truly succeed and scale, it should be friendly with the common man (in this case a normal software developer).
Azure SQL Data Warehouse (DW) has quickly become one of the most important elements of the Azure Data Services landscape. Customers are flocking to Azure SQL DW to take advantage of its rich functionality, broad availability and ease-of-use. As a result, Talend’s world-class capabilities in data integration, data quality and preparation, and data governance are a natural fit with Azure SQL DW.
Video is a great way to boost your SEO and one that more and more websites are making use of with every passing day.
KissFront is a web performance monitoring tool running Lighthouse continuously or on-demand (using Lighthouse as a service) to monitor your website performance and get insights on speed with modern performance metrics. Lighthouse is an open-source automated tool for analysing and improving the quality of web pages with audits for performance, accessibility, progressive web apps, SEO and best practices.
Since the release of Talend 7.1 users can build Talend jobs as Docker images and publish them to Docker registries. In this blog post, I am going to run through the steps to publish to the major cloud provider container registries (AWS, Azure and Google Cloud). Before I dig into publishing container images to registries, I am going to remind you the basics of building Talend Jobs in Docker images from Talend Studio as well as point out the difference between a local build and a remote build.
In Yellowfin 8 we introduced two new products, Yellowfin Signals, to automatically discover the most critical changes in your business as they happen, and Yellowfin Stories, to provide context to the numbers and tell compelling stories with your data. We’ve received great feedback since then and implemented some of the requested enhancements to improve the user experience, increase governance and performance.
How do you organize an effective meeting when you don’t have a physical space to hold it? How do you manage workflows across different time zones, when some people are starting work as others go to bed? How do you integrate new people into the culture when you don’t have a physical HR department?
In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization. Here are six more dos and don'ts when building your data governance framework.
In addition to tracking your email marketing & automation KPIs from Klaviyo, you can also pull data from all of the tools that Klaviyo integrates with right into Databox, too.
This post is the last in a three-part series about deploying Kong as a service mesh. The first post discussed how we define the term “service mesh” here at Kong, and the second post explained the architectural pattern used to deploy Kong as a mesh. In this post, we will talk about the new features and configuration options we added to give Kong its mesh capabilities.
