Based on our record, Apache Spark seems to be a lot more popular than Jamf Pro. While we know about 58 links to Apache Spark, we've tracked only 3 mentions of Jamf Pro. 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.
Go to jamf.com, login with your jamf ID and go to Manage Account. Source: over 1 year ago
I have no idea about MDM for Apple devices, but I've heard about jamf.com before. People also told me that administrating Apple devices is horrible, but I have no personal experience there. Source: almost 2 years ago
Another great tool is the trainings that are on jamf.com. just create a free account and you'll be able to get them, its everything from basic inventory reports, to package creation and deployment and even scripting courses. Source: almost 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 / 19 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
Hexnode MDM - Mobile Device Management solution from Hexnode helps you monitor, manage and secure mobile devices across your organization.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
ManageEngine Mobile Device Manager Plus - ManageEngine Mobile Device Manager Plus is an enterprise mobile device management solution that is designed to enhance employee productivity without compromising on corporate security.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Scalefusion - Scalefusion is a Powerful Android, iOS, macOS & Windows 10 Device Management Solution for corporate-owned & employee-owned (BYOD) mobile, tablets, desktop & rugged devices.
Hadoop - Open-source software for reliable, scalable, distributed computing