Telepresence
mirrord
DevSpace (for Kubernetes and Docker)
Okteto
Garden.io
Gefyra
DockStation
Portainer
Hadoop
Apache Spark
Apache Cassandra
PostgreSQL
Apache Flink
MongoDB
Apache Storm
Amazon EMR
Telepresence HadoopBased on our record, Hadoop should be more popular than Telepresence. It has been mentiond 17 times since March 2021. 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.
This is where shared environment tools like Telepresence and CodeZero can help. They assume you're only working on one or two microservices anyway, and running them locally is not an issue. These tools let you connect your local service to the staging environment, replacing the service currently running in the cluster, without deployment. The code you're working on runs locally, and its dependencies run in the... - Source: dev.to / over 1 year ago
Local development is an entirely different story on its own. There many tools just for this (tilt.dev, garden.io, telepresence.io, okteto.com). Source: about 3 years ago
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 10 days ago
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 / 22 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: over 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
mirrord - Connect your local process and your cloud environment.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
DevSpace (for Kubernetes and Docker) - Cloud-Native Software Development with Kubernetes and Docker
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Okteto - Development platform for Kubernetes applications.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.