Zendesk Reviews

1. stu14

   18 days ago
   Clunky & awful customer service

   Would give them 0/5 if I could!

   🏁 Competitors: HubSpot, Freshdesk

   👎 Cons:    Customer support|Ux/ui|Limited features

Amazon EMR Reviews

Zendesk mentions (7)

• The Ultimate Guide to Building Internal Tools in 2024

  Popular solutions ****include Zendesk and Help Scout. - Source: dev.to / 8 months ago

• is this scam

  That's not a reddit a url. zendesk.com is the url, whatever the hell that is. Source: over 1 year ago

• [HELP] Can't log in to upload SSL due to expired SSL

  Had my new SSL delivered at around the same time as my old one expired and now I can't log in due to it having expired. Is there an alternative URL I can get to, to log in? I've tried zendesk.com and hoped for a backend route through there but no cigar. Source: almost 2 years ago

• Special trick to get support for battery replacement ?

  Seven hours later and I have still not received a new email from "BOOXHelp help@boox.com via zendesk.com" (or other boox/onyx email). The last human-generated email I got from there was two days ago (Wed, Aug 31, 3:15 PM). Source: almost 2 years ago

• Here's how I'd figure out the go-to-market for a Customer Support SaaS

  My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years 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: over 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: about 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: about 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