AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.
The majority of SaaS businesses lose 1-3% of their customers every month. In this guide, 30 experts share how they keep them onboard for years to come.
Microservices are a type of architectural style for building software that has been gaining popularity. The concept was first introduced at a tech conference in 2011 and has been adopted by many Agile enterprises such as Netflix, Amazon, Uber, SoundCloud, Groupon, eBay, to name a few. So, what are microservices? What are the benefits of microservices? And why are so many large enterprises have been implementing this method into their DevOps and continuous testing strategies?
As we grow our footprint globally, we’re gaining strong momentum in the UK. We recently added several fast-growing, London-based organizations to the Kong Enterprise community. These organizations are turning to Kong to help power their core business applications and accelerate application development as they shift to microservices-driven architectures.
Stitch is a very simple yet very powerful cloud service which connects to a diversity of data sources. It is a very user-friendly ingestion system and works in a very simple format. Stitch connects to the data sources, pulls the data and loads the data to a target. In this blog, I am going to connect to Amazon S3, read a file and load the data to Snowflake but first let’s understand few concepts of Stitch. For Stitch to work you need an Integration and a Destination.
Discover the 35 off-page SEO techniques that nearly 100 marketers use to build domain authority, earn backlinks, and drive more traffic to their sites.
So far, in our blog series Data Integration Best practices, we have covered the different types of high-level and low-level problems occurring in data integration projects. We have also addressed the different types of integration, the systems that move data and even the pricing aspect of such a project. Ten articles later, we arrived at best practices moving forward. In this last chapter, we are going to talk about some tips that revolve around preparing for and running an integration project.
Talend Cloud is an Integration platform as a service (iPaaS) offering by Talend. It is a fully managed cloud option which has the capabilities of data integration, data stewardship, data preparation, API designer and Tester and Pipeline designer. These tools can be used for lightweight ETL and detecting the schema on the fly. One of the unique features of Talend Cloud is it provides both on premise and cloud execution environments.
Freemium and free trials are common acquisition models in SaaS––but which is the right model for you? Here, 70+ experts share the best way to decide.
In today’s rapidly changing world, software products need to be upgraded frequently and quickly to bring value to customers and users. Software features are continuously developed, tested, deployed, and operated in the production environment. New features are not only developed and tested successfully, but they also deployed and operated without much chaos and disruption.
