Amazon EMR Reviews

Microsoft Teams Reviews

1. Boyd Richardson

   | Writer at SE | about 1 year ago
   The Ultimate Collaboration App

   s someone who works remotely, I've tried my fair share of collaboration apps. However, I have to say that Microsoft Teams has impressed me the most. It's a comprehensive app that brings together all the tools I need to communicate and collaborate with my colleagues seamlessly.

   The interface of Microsoft Teams is user-friendly and easy to navigate. I particularly love the left-hand navigation bar that provides quick access to all the features, including chats, meetings, files, and activity. The app integrates with other Microsoft apps, such as Outlook and OneDrive, making it easier to schedule meetings and access files. The chat feature is simple, yet effective, with options to create groups, share files, and use emojis and GIFs.

   🏁 Competitors: Discord, Slack

   👍 Pros:    Well-integrated|Collaboration|Feature rich

   👎 Cons:    Overwhelming for first time user|Mobile app lacks features|Can be slow

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: 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

Microsoft Teams mentions (0)