monday.com, an award-winning project management tool, helps teams plan together efficiently and execute projects that deliver results on time. Its ease of use and flexibility means fast onboarding for your team and the ability to manage your work your way. With powerful productivity features such as time tracking, automated notifications, customizable workflows, dependencies, timeline views and integrations, your team can achieve better and faster results for every project milestone.
It's a great tool for planning tasks conveniently. It's pretty straightforward to use, which is a big plus. You can tweak it to fit your own way of doing things, which is handy.
When we needed a tool large enough to support ongoing marketing projects, Monday was the best solution that was trialled in comparison to other alternative platforms that didn't scale as well with our needs.
Based on our record, monday.com seems to be a lot more popular than Amazon EMR. While we know about 335 links to monday.com, we've tracked only 10 mentions of 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.
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
Some tools that I would use to stay organized include Jira, monday.com, Notion, or Trello. Each has its own advantages. Personally, I use monday dev. It lets you keep track of all your projects and tasks in one place and collaborate with your team in real time. - Source: dev.to / 5 months ago
With the newer, online work management tools that have project management features (ClickUp, Monday.com, etc.), several have free versions and you have the ability to create a custom field that you can use for the assignee, ignoring the built-in field that requires a licensed user or guest. Source: 5 months ago
Use this space to easily get started with all the basic things you need to know about monday.com: https://www.mondayspaces.com/spaces/monday-com-implementation-guide. Source: 5 months ago
I'm thinking about using small to medium group projects in my classroom to teach students the basics of project management (breaking big tasks into smaller ones, assigning roles, identifying dependencies, estimating effort/duration, tracking progress, etc.) I can do it using google sheets, but I was curious if anyone here has leveraged online tools like monday.com, Asana, Trello, etc. In the educational space. Source: 5 months ago
I've made my life a LOT easier by starting an organized task list - I used monday.com but you can use whatever works best for you. I categorized things by small, medium and large projects, and low-med-high priorities. Source: 5 months ago
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