Based on our record, Apache Spark seems to be a lot more popular than Freshservice. While we know about 58 links to Apache Spark, we've tracked only 3 mentions of Freshservice. 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.
If you're fine with writing emails instead of filling in an Outlook form (as a user), then https://freshservice.com/ might work. Source: over 2 years ago
FreshService is pretty good and ticks all the boxes you're looking for (https://freshservice.com/). Source: over 2 years ago
If you're not capable of hosting the solution yourself, there are solutions that have per-agent models that will cost you much less than SchoolDude, all while being substantially more feature rich. osTicket and FreshService are both great examples. A cloud hosted instance of osTicket is only $9/agent/month. FreshService is a more polished solution, but costs more at $19/agent/month. 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 / 17 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 / 18 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 / 7 months ago
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Basecamp - A simple and elegant project management system.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Redmine - Flexible project management web application
Hadoop - Open-source software for reliable, scalable, distributed computing