Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform ...

Confluent says the report shows that Kafka is helping to simplify the work of building data-driven applications. Instead of building separate infrastructure for major IT projects like ETL, data ...

In this first installment of a three-part series on data streaming, Apache Kafka, and data analytics, we will dive into fully explaining data transaction streaming and the technologies that make it ...

Kafka also has a strong affinity with big data technologies such as Hadoop, Spark, and Storm. Kafka seems ideal as a framework for handling the massive streams of data that are increasingly generated ...

That’s where Apache Kafka comes in. Originally developed at LinkedIn, Kafka is an open-source system for managing real-time streams of data from websites, applications and sensors.

Yet another consumer feeds an aggregation framework for ridership data to internal dashboards. Kafka is at the core of a data architecture that can feed all kinds of business needs, all real-time.

Spark and Kafka are involved in processing, analyzing and transporting this data. As steaming applications, data science and machine learning have taken off, so have Spark and Kafka.

Kafka is an open-source platform used by more than 80% of Fortune 100 companies to manage data streams ranging from machine sensors to stock prices and social media feeds.

Apache Kafka startup Confluent Inc. today debuted a new infinite data retention feature within its Confluent Cloud platform that enables customers to store as much related information as they want ...