Mullvad VS Amazon EMR

Mullvad Reviews

Amazon EMR Reviews

Mullvad mentions (86)

• The 10 tools I install on every new Mac I get

  Other essentials are a VPN (I use Mullvad and ProtonVPN), but that's about it. - Source: dev.to / 8 months ago

• Google gets its way, bakes a user-tracking ad platform directly into Chrome

  > But this is not my field. > Would a VPN do what I need? Where are instructions that a n00b can follow? Never used them myself but lots of HN commenters think highly of the VPN services offered by Mullvad [0]. In fact, right now, Mullvad is currently on the HN frontpage [1], from a blog post by Tailscale. 0: https://mullvad.net/en 1: - Source: Hacker News / 8 months ago

• Why people use VPN on torrent and which torrent software should i use ?

  If you end up finding out that you need a VPN, then bind it to qbittorent with this guide. Recommended VPNs are ProtonVPN and Mullvad. Source: 8 months ago

• Yubico is merging with ACQ Bure and intends to go public

  If you are looking for a tiny, Swedish company working in a similar area as Yubico, there is Tillits AB. Tillitis is a spin off from the Swedish VPN provider Mullvad. In contrast to Yubikeys, The Tillitis TKey as well as tools, device verification etc is 100% open source. https://tillitis.se/ https://github.com/tillitis (Full disclosure: I work for Tillitis.). - Source: Hacker News / about 1 year ago

• Best Simple Security Practices for Protecting Self and Tendies - Final Repost for Visibility!

  - VPNS? Sure. They can be useful. Don't just download and use any free VPN though! They can steal/collect just as much data as an unprotected WiFi network. ProtonVPN is a newer service offered by the world class ProtonMail team. It has a free tier and is easy to use. Even if you don't pay for one, definitely use it whenever you're on any open WiFi connections such as sitting at Starbucks or the airport. You'd be... Source: over 1 year ago

Amazon EMR mentions (10)

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  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

• What compute service i should use? Advice for a duck-tape kind of guy

  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

• Processing a large text file containing millions of records.

  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

• How to use Spark and Pandas to prepare big data

  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

• Beginner building a Hadoop cluster

  Check out https://aws.amazon.com/emr/. Source: about 2 years ago