100 Best Apache Kafka Videos

Notes:

Apache Kafka is an open-source software platform for managing and processing large streams of data in real-time. It is designed to be scalable, fault-tolerant, and high-performance, and can handle millions of events per second. Kafka is based on a publish-subscribe model, in which producers publish data to Kafka topics, and consumers subscribe to these topics to receive the data. Kafka is often used in distributed systems, where multiple instances of the software can be run across a cluster of servers to provide high availability and failover. Kafka can be used in a variety of applications, such as real-time analytics, online fraud detection, or activity tracking. It is also commonly used as a backbone for message brokers, event buses, and other data-intensive systems. Overall, Kafka is a powerful and widely-used platform for managing and processing streams of data in real-time.

Apache Hadoop YARN (Yet Another Resource Negotiator) is a distributed resource management and job scheduling system for Apache Hadoop. It is designed to provide a scalable and flexible platform for running large-scale data processing applications on Hadoop clusters. YARN is a key component of the Hadoop ecosystem, and is responsible for managing the allocation of resources (such as CPU, memory, and storage) across the cluster. It consists of two main components: a resource manager and one or more node managers. The resource manager is responsible for accepting job submissions from users and applications, and for allocating resources to these jobs. The node managers are responsible for monitoring the resources on each node in the cluster, and for reporting back to the resource manager. By splitting the resource management and job scheduling/monitoring into separate daemons, YARN allows Hadoop to support a wide range of applications and workloads, and to scale more effectively.

Apache Kafka and Apache Hadoop YARN are two separate technologies that can be used together in some cases. Kafka is a distributed event store and stream-processing platform, while YARN is a distributed resource management and job scheduling system. Together, these technologies can be used to build scalable and reliable data processing pipelines that can handle large volumes of data in real-time. For example, Kafka can be used to capture, store, and process streams of data from multiple sources, such as sensors, web logs, or user interactions. YARN can then be used to manage the allocation of resources across the Hadoop cluster, and to ensure that the data processing jobs run efficiently and reliably. In this way, Kafka and YARN can complement each other and provide a powerful platform for real-time data processing and analytics.

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Wikipedia:

See also:

100 Best Apache Hadoop Videos | 100 Best Data Pipeline Videos | 100 Best MQTT Videos | 100 Best Streaming API Videos |  JSON & Rule Engines 2017 | Streaming Data & Dialog Systems |  Twitter4J & Natural Language 2017

[76x Jun 2018]