LinkedIn developed Kafka in 2011 as a high-throughput message broker for its own use, then open-sourced and donated Kafka to theApache Software Foundation(link resides outside ibm.com). Today, Kafka has evolved into the most widely used streaming platform, capable of ingesting and processingtrill...
What is Apache Kafka Used For? Kafka is flexible and widely-used, but there are several use cases for which it stands out: Log aggregation. Kafka provides log or event data as a stream of messages. It removes any dependency on file details by gathering physical log files from servers and...
Apache Kafka is a popular open source platform for streaming, storing, and processing high volumes of data. Kafka was developed by a team of engineers at LinkedIn, and open-sourced in 2011. Thousands of companies around the world including Datadog use Kafka. Businesses powered by Kafka typically...
There is also an older query interface for Cassandra known as Apache Thrift which was deprecated with the release of Cassandra 4.0.NoSQL Data Models Cassandra, by itself, natively focuses upon two different NoSQL data models: Wide Column Store – Cassandra is primarily identified as a “wide ...
Kafka APIs: Apache Kafka is an event streaming platform that combines three capabilities so that you can implement different use cases. The three capabilities are publishing and subscribing to the streams of events, storing streams of events durably and reliably, and processing streams of events as...
Apache Kafka Tutorial The Scala-based streaming and messaging software is one of the most popular solutions for efficiently storing and processing large data streams. In this Kafka tutorial, you will learn the requirements for using this open source software and how best to install and set up ....
Open source software (OSS) is a decentralized development model that distributes source code publicly for open collaboration and peer production.
Avro can be integrated with many big data tools, like Apache Hadoop, Apache Spark, Apache Pig, Apache Kafka, and Apache Flink, making it a versatile choice for data serialization in distributed environments. In addition, Avro’s compatibility with the JSON format provides a bridge between human...
Streaming Data Sources Apache Kafka, Amazon Kinesis Real-time data streams for low-latency insights. Talk to an Expert Features of a Data Virtualization System Data virtualization systems provide a powerful framework for organizations to access, manage, and analyze data from multiple sources without th...
Hadoop is an open source distributed processing framework that manages data processing and storage forbig dataapplications in scalable clusters of computer servers. It's at the center of an ecosystem of big data technologies that are primarily used to supportdata scienceand advanced analytics initiative...