iLovePDF
Smallpdf
Adobe Acrobat DC
Sejda
PDF24
CloudConvert
TinyPNG
TinyWow
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
iLovePDF
Google Cloud DataflowiLovePDF is recommended for students, professionals, and anyone who needs to manipulate PDF documents frequently. It's especially beneficial for those who need to perform quick edits without downloading additional software or for users who require a range of PDF-related services in one platform.
Based on our record, iLovePDF should be more popular than Google Cloud Dataflow. It has been mentiond 32 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.
Yeah you have to pay for it. You can use ilovepdf.com or something else if you want a free software to edit. Source: about 3 years ago
I use ilovepdf.com and it does the work pretty damn well. Source: about 3 years ago
The site ilovepdf.com did the job perfectly. Thank you once again, I didn't know about this site, but I'll use it from now on. Source: about 3 years ago
Sometime back I was looking for a job and I promised myself to share a few things I did differently(to my resume) if I proceeded to the last stage of the interview. That has come to pass. So here goes: - I used visualcv.com to create my resume. Since there is a watermark on the last page, I downloaded the PDF and used ilovepdf.com to remove that last page. - My resume bullets were also a bit below average. So... Source: about 3 years ago
So the document gets uploaded to ilovepdf.com and then you download the result? --- Any security implications to the data in the file? ---. Source: over 3 years 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 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years 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: almost 4 years 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 4 years ago
Smallpdf - PDF document management and conversion suite
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Sejda - Split, merge and other powerful PDF tools.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.