Amazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.
Slack has transformed how we communicate at Polar Credit, making collaboration faster and more organized. The channel-based messaging, direct integrations with essential tools, and real-time notifications keep our teams connected, reducing reliance on long email threads. The search function is a major plus, helping retrieve past conversations and shared files effortlessly.
Slack has completely transformed how our team works together. The channels keep conversations organized, and we never lose track of important discussions.
It integrates with tools like Google Drive and Zoom, making collaboration effortless. Sharing files is easy, and the search feature saves so much time when finding old messages.
Slack is simple, customizable, and keeps everyone connected—whether we’re in the office or remote. It’s the perfect tool for teamwork!
Slack is best platform to be used for professional purposes. It helps me keep my professional and personal life separate.
Based on our record, Slack seems to be a lot more popular than Amazon EMR. While we know about 223 links to Slack, 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 2 years 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 3 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: about 3 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 3 years ago
Check out https://aws.amazon.com/emr/. Source: about 3 years ago
In this tutorial, you will learn how to create a blog with Laravel and ButterCMS. Then, you’ll add integration into ButterCMS’ webhooks that will send notifications directly to your Slack channel of choice whenever a new post is published. - Source: dev.to / about 1 month ago
10. Slack AI and Microsoft Teams AI These platforms enhance team collaboration by offering intelligent insights, task reminders, and integration suggestions. Slack AI provides automated alerts and recommendations, improving communication and productivity. Microsoft Teams AI offers meeting summaries, suggested tasks, and automated workflows, making it a powerful tool for distributed teams. Both tools integrate with... - Source: dev.to / 4 months ago
A thriving community is intertwined with sustainable funding. Workshops emphasize effective communication through platforms like Slack and Discord, as well as recognizing contributors to maintain engagement. For more strategies on building a sustainable community, consider exploring open source project sponsorship tips. - Source: dev.to / 4 months ago
In this three-part series, we will build a Slack clone—an app that helps teams stay in touch with instant messaging, video calls, and channels. We’ll build this application using React (Next.js), TailwindCSS, Prisma, and Stream SDKs. - Source: dev.to / 5 months ago
Flexible Notification Options: Customers can subscribe to updates on specific components or services, avoiding unnecessary communication while staying GDPR-compliant. Notifications integrate seamlessly with tools like email, Slack, Microsoft Teams, and SMS. - Source: dev.to / 6 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.