Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
All of our resources, all in one place. Search to find exactly what you're looking for or filter by the topic or type of content to get started.
Shoe retail titan NewLimits is drowning in stale, inconsistent data due to nightly batch jobs that keep failing. Read the comic to see how developer Ada and architect Jax navigate through Batchland with Iris, their guide, and enter Streamscape and the realm of event-driven architectures.
Data is the lifeblood of modern businesses—which means you would want control over that data to unlock maximum value. According to our global Data Streaming Report, that’s exactly why more businesses are relying on data streaming technology to ensure access to real-time, reliable, and reusable data.
From this broader research, we've analyzed data from 1,424 IT leaders across the Asia-Pacific (APAC) region to offer insights into how APAC businesses are leveraging data streaming technologies to drive unprecedented levels of innovation across diverse industries.
ELT pipelines create duplicate datasets and costs. A “shift left” offers a better approach. We'll explore best practices to make data accessible across operational, analytical, and hybrid systems using data primitives such as streams, tables, schemas, and Apache Iceberg.
Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.