Sumsub is the one verification platform that secures every step of the user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.
Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 90.98% in Brazil—while verifying users in less than 50 seconds on average.
Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).
Hands down one of the best experiences with document verification. I have to go through this kind of checks on a weekly basis and sumsub is relatively fast and has a smooth interface that guides you through the whole process. Solid 5/7
Amazon EMR might be a bit more popular than Sumsub. We know about 10 links to it since March 2021 and only 8 links to Sumsub. 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: about 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
After that you must complete secure KYC process (done via the SumSub company). Source: over 1 year ago
I didnt recieve my crypto from the p2p Transfer and its asking for me to do verification from sumsub.com. I have no idea what this website is but I filled out the verification and it says they are partnered with Binance. Source: over 1 year ago
KYC and data storage could be done by a trusted third-party service called Sum and Substance. Source: over 1 year ago
It might be required to present proof of address for KYC, which you can learn more about here. The KYC procedure is handled by our partners at sumsub.com and they are the ones checking the validity of the document. Source: almost 2 years ago
Updated the link with the source. Hope it helps. https://sumsub.com/. Source: about 2 years ago
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