While traditional ETL (Extract, Transform, Load) collects data within a centralized data warehouse, reverse ETL flips the target and destination of the standard ETL process. This allows information to be pushed out of data warehouses and into powerful third-party operational systems that can provide better analytics and reporting services. With the Xplenty platform and its ETL tools, all information is sent between warehouses and third-party operational systems in an efficient and secure manner.

If you're looking for a better way to organize your data and ensure it stays up-to-date, you need to start utilizing CDC processes today. Change data capture uses various techniques to detect changes made in source tables and databases in real-time. Read on to learn more about change data capture and how it can be implemented to better serve your business.

There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. In this blog series, we will discuss each of these deployments and the deployment choices made along with how they impact reliability.

Every business, large or small, needs applications. Naturally, to keep up with this need, application designers and developers need to stay on their toes with app creation. But building applications is no piece of cake; developers need to stay abreast with the latest designing trends, tech know-how, and hands-on app testing experience, not to mention, possess incredible working speed.

In a series of four articles I’m going to describe the foundational technology behind CodeZero, describe some of its features, and show how it can be of tremendous benefit to any development team or individual deploying their software to Kubernetes. You can read the first article on Medium, where I dive into some of the core concepts that you need to understand to get the most out of CodeZero.

With the explosion of the machine learning tooling space, the barrier to entry has never been lower for companies looking to invest in AI initiatives. But enterprise AI in production is still immature. How are companies getting to production and scaling up with machine learning in 2021? Implementing data science at scale used to be an endeavor reserved for the tech giants with their armies of developers and deep pockets.

From customer acquisition and retention to goal completions and keyword analysis, 50 marketers share their top client report templates from GA.

Back in the day, it was normal to buy or rent servers and pay for them in a lump sum, independent of utilization. With the rise of serverless computing, infrastructure to build APIs has become cheaper, and on-demand pricing is the norm. Now that you only pay for what you use, why not include usage-based pricing as a feature in your own SaaS offering. With usage-based pricing your customers don’t get intimidated by high upfront costs, instead their costs grow as their business grows.

Appian has been a recognized leader in cloud-based enterprise software platforms since delivering Appian Cloud in 2007. From the outset, we built our software to integrate with and complement the cloud’s unique advantages, and to protect it from vulnerabilities. We did so with a unique design philosophy, employing cloud-native and globally recognized frameworks like NIST for optimal security protection, business continuity, and enhanced support.

For our latest expert interview on our blog, we’ve welcomed Dhonam Pemba to share his thoughts on the topic of artificial intelligence (AI) and his journey behind founding KidX AI. Dhonam is a neural engineer by PhD, a former rocket scientist and a serial AI entrepreneur with one exit. He was CTO of the exited company, Kadho which was acquired by Roybi for its Voice AI technology. At Kadho Sports he was their Chief Scientist which had clients in MLB, USA Volleyball, NFL, NHL, NBA, and NCAA.