FileInvite
Oracle Bharosa
Onehub
Kount Complete
KYC Portal
ESurksha
PandaDoc
Clustdoc
Amazon EMR
Google BigQuery
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Databricks
Qubole
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Accelerate key stages in your document management processes using out-of-the-box automation. Easily request files, documents, forms & signatures from your clients – set a due date and save hours as your requests are returned to you effortlessly.
FileInvite automatically converts returned files to PDF and syncs with your favorite cloud storage system, CRM, or LOS using native integrations and API. Try it for yourself with a free 14-day trial.
FileInvite Amazon EMRBased on our record, Amazon EMR seems to be more popular. It has been mentiond 10 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
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Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Onehub - Onehub helps businesses securely share and control files in the cloud.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost