Hadoop
Apache Spark
PostgreSQL
Apache Cassandra
Apache Flink
MongoDB
Apache Storm
Amazon EMR
Kubernetes
Rancher
Docker
Helm.sh
Google Kubernetes Engine
Docker Swarm
Docker Compose
Portainer
Hadoop KubernetesBased on our record, Kubernetes seems to be a lot more popular than Hadoop. While we know about 290 links to Kubernetes, we've tracked only 16 mentions of Hadoop. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / 2 days ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
A manufacturing company might leverage a combination of Kafka for real-time data streaming, Kubernetes for container orchestration, and dbt for data transformations. They could use Dataplex for unified data management and security across domains. This technology stack would enable the Production Data team to monitor and analyze production metrics in real-time, the Supply Chain Data team to manage and optimize... - Source: dev.to / about 23 hours ago
The best method to counter these problems is CloudNativePG operator, this operator manages PostgreSQL workloads on any supported Kubernetes cluster. - Source: dev.to / 1 day ago
Stacklok was founded in 2023 by Craig McLuckie (co-creator of Kubernetes) and Luke Hinds (creator of the OpenSSF project Sigstore), with the goal of helping developers produce and consume open source software more safely. - Source: dev.to / 3 days ago
Kubernetes, an open-source platform for automating the deployment, scaling, and operation of application containers, has become a fundamental tool for modern software development. Here are some of the top Kubernetes commands every developer should know, along with comments explaining their usage:. - Source: dev.to / 13 days ago
Orchestration with Kubernetes is simple to set up, but there are some challenges to managing resource usage in a cost effective way. - Source: dev.to / 15 days ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Rancher - Open Source Platform for Running a Private Container Service
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Helm.sh - The Kubernetes Package Manager