Learn how to leverage the power of big data scalable streaming processing with Kafka-Streams, K8s, and Cassandra to build a near-real-time retail inventory management system.... Read More

Cross-Device Analytics (CDA) provides person-centric reporting capabilities in Adobe Analytics reports by grouping devices belonging to certain identities. In 2016 when we started working on... Read More

MLOps, a close relative to DevOps, is a combination of philosophies and practices designed to enable data science and IT teams to rapidly develop, deploy,... Read More

One of the goals when deploying apps in Kubernetes is to be able to scale them and the infrastructure dynamically based on demand. This should... Read More

A data mesh is a new socio-cultural concept that organizationally brings together the responsibility of operational data production and analytical processing. That means moving away... Read More

When facing big volumes of data and the business challenges converge into extracting insights that should determine decisions over the company’s strategic plan you need... Read More

How does thinking about data change when considering a web3 environment – with all the restrictions this context introduces as well as with all benefits... Read More

Influence is the main fuel behind filtering information for building engaging feeds in any Social Network. Its clever combination with trust and reputation can generate... Read More

Cloud technology has changed a lot of what we do today, from our work to our day-to-day lives. But how has it impacted analytics? When... Read More

We’ll discuss our journey of scaling the job of building curated datasets from our data warehouse and big data teams to the whole business intelligence... Read More