Analytics

These days a website needs to load quickly. If it doesn’t, then there’s a strong chance users will abandon the site altogether. In fact, 40% of users are likely to navigate away from

Stream processing and distributed database management are concerns that most enterprises dealing with data analytics and real-time data processing have. Most enterprises today use data

A data warehouse provides fast access to large data sets for analytics, data science, and dashboards. A data warehouse differs from a transactional database, because you often do not

Modern applications produce large numbers of events. These events can be users clicking, IoT sensors accumulating data, or log messages. The cost of cloud storage and compute continues

Kafka is at the center of modern streaming systems. Kafka serves as a database, a pubsub system, a buffer, and a data recovery tool. It’s an extremely flexible tool, and that