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It really offers a lot of management and security control over android devices and also comes with a quite impressive remote control feature to allow us IT managers to provide remote support and troubleshooting immediately when needed. I think the company is a relatively newer compare to other mdm providers but they have been updating and adding new features quite actively and are always open to take customer's advices for improvements. I'd recommend to give it a try.
Helps us prevent device misuses, ensure device security, and allow us to remotely troubleshooting our customer's devices when it's not working properly. The easy enrollment and the kiosk mode makes manaing device usage a lot easier and secure, especially for customer-facing and interactive devices, we can set rules and restrictions to prevent end-users from exiting kiosk.
Great customer service and tech support, they sure are knowledgeable of their software and have been really helpful.
Based on our record, AWS Glue seems to be more popular. It has been mentiond 13 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.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / 2 months ago
AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 3 months ago
It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / 11 months ago
So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - Source: dev.to / over 1 year ago
Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago
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