Hive is the powerful project management tool built to help teams move faster. Used by teams at Starbucks, Comcast and Toyota, Hive gives teams the ability to manage projects, communicate effectively, and analyze team productivity stats.
The basis of Hive is action cards, which can be organized into projects and collaborated on by several team members. Cards are assigned due dates and subtasks, and can be viewed flexibly in Gantt, Kanban, calendar or table view. Hive also has native chat and a first-of-its-kind email integration, which enables the tool to act as an all-in-one hub for businesses of all sizes, empowering efficiency and innovation.
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Amazon EMR might be a bit more popular than Hive. We know about 10 links to it since March 2021 and only 9 links to Hive. 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.
I use Hive hive.com , which is also a project management tool. I sync it with my google calendar for work-related things and with my calendar app on iPhone for home/family-related things. Guess I could use just one calendar and use tags, but this system works best for me. What I like about Hive is that I can create a time block right from my task dashboard, the app also let me start notes from a meeting straight... Source: 10 months ago
You could check out hive.com. Quite OK, though not as good as ClickUp. But free as a single user. Source: about 1 year ago
Try out https://hive.com/. We tried it out and it wasn't quite what we needed it for, but it seems great for project management. They even had a desktop app and it was free! Oh an internal chat and email integration too. Source: about 1 year ago
Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 1 year ago
Another pjm-tool for personal use which is worth checking out is Hive. Loads of features for free, even Gantt-charts. And it is possible to export data in xml (in gantt-view). Source: over 1 year 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
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