It's much more convenient than GoogleDrive. I frequently use it to share my projects on freelance platforms. This is reliable cloud storage with many features
Based on our record, Dropbox should be more popular than Google Cloud Dataflow. It has been mentiond 28 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.
Even better: upload an example Excel file to a file-sharing website (box.net/files, dropbox.com, onedrive.live.com, etc), and post a download link that does not require that we log in. Source: 7 months ago
Note that Dropbox automatically backs up all your files. So if you delete a file, you can recover it on dropbox.com, even 6 months later. Source: 11 months ago
Upload what is on that stick to a cloud based system that is not vulnerable to degradation of hardware, you can get a lot of storage for free on sites like dropbox.com, mega.nz, or icloud. You can also always make multiple backups. Source: 11 months ago
Did you try logging into dropbox.com and checking there? Often the files remain online even if they are removed locallY. You have to log in with the same account you deleted Locally. Source: 11 months ago
Dropbox: You absolutely NEED backups. Ideally, both physical and cloud backups, because if you only have one backup, you're not backed up. I can't even begin to tell you how many writers have lost days, weeks, or even entire novels worth of work because they failed to back up their work, then had their computer break or had some weird software snafu. Dropbox is my preferred cloud backup solution, because you can... Source: 11 months ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
Google Drive - Access and sync your files anywhere
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Mega - Secure File Storage and collaboration
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?