Webshare is the technology leader in lawful-use enterprise proxy services, enabling deep data collection, aggregation, and analysis for businesses across the globe.
Business from Fortune 500 companies to consultants rely on Webshare for assured availability to market research, price comparison, data aggregation, malware analysis and more.
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Webshare might be a bit more popular than Amazon EMR. We know about 14 links to it since March 2021 and only 10 links to Amazon EMR. 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.
A good and cheap proxy server I always use is webshare.io. Source: about 1 year ago
I am using webshare.io over a year. If there is a problem with the proxies, they fix it in a short time. If you want to use my ref link here it is :. Source: over 1 year ago
It's really not that hard. Most proxy services will even be able to do the rotation for you (at the expense of some performance). I like webshare.io. Send me a message if you want me to talk you through it. Source: over 1 year ago
Hello, I've developed a Google Search scraper, using requests. The thing is, say I need to make around 10 million searches a week. Now the problem is that my requests are being detected by Google. I'm making around 350 requests every 5 seconds (70 requests a second), so around 4200 requests a minute. Right now I am rotating proxies on a pool of about 500 proxies (using public webshare.io proxies (ie the cheapest... Source: almost 2 years ago
Know am late, but I think webshare.io proxies are what you are looking for. Been using them, great so far. Source: almost 2 years ago
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
Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 40M residential proxies worldwide and a great deal of scraping solutions.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
PHP-Proxy - A web proxy script written in PHP and created as an alternative to Glype.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost