Based on our record, Apache Spark seems to be a lot more popular than Telepresence. While we know about 58 links to Apache Spark, we've tracked only 2 mentions of Telepresence. 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.
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 / 3 days ago
In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 4 days ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
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
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
mirrord - Connect your local process and your cloud environment.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
DevSpace (for Kubernetes and Docker) - Cloud-Native Software Development with Kubernetes and Docker
Hadoop - Open-source software for reliable, scalable, distributed computing
Okteto - Development platform for Kubernetes applications.