Trello excels as a task planning tool, and I appreciate its user-friendly interface, especially when using it on a smartphone. Its mobile app is incredibly convenient, allowing me to stay organized and connected on the go. I appreciate how it streamlines collaboration without unnecessary complexities.
Incorporating Trello into my daily workflow has been a game-changer. It is an incredibly intuitive and versatile tool that has significantly boosted my productivity. What I particularly love about Trello is the visual aspect of its interface - the board and card system makes it easy to visualize my tasks and progress. The ability to create different boards for different projects or areas of work helps to keep everything organized and easy to manage. Adding, moving, and categorizing tasks are just a drag-and-drop away, making it straightforward and efficient. The flexibility to customize each card with due dates, labels, checklists, attachments, and even members has been beneficial in tracking the status of various tasks and deadlines.
he collaborative features are another huge plus. Sharing boards and tasks with colleagues, and being able to comment directly on cards, makes team projects and communication a breeze. On the go, I have found the Trello mobile app to be just as user-friendly and functional as the desktop version, allowing me to stay on top of my tasks no matter where I am. Overall, Trello has proved to be an invaluable tool in managing my daily tasks and enhancing productivity. I highly recommend it to anyone looking to streamline their workflow.
I have been using Trello for a couple of years now and I must say, it's a great tool for organising tasks and collaborating with team members. It's simple to use, has a nice interface, and the mobile apps are great for on-the-go productivity.
One of the best things about Trello is its flexibility. You can use it for almost any type of project, whether it's a personal to-do list or a complex team project. The ability to create multiple boards and add unlimited cards and lists makes it a great tool for keeping track of everything from the big picture to the minute details.
However, while Trello is a good tool, I don't think it's the best option out there. For one thing, the free version is quite limited in terms of features and functionality. You'll have to upgrade to a paid plan to get access to things like integrations, power-ups, and more. Additionally, I've found that Trello can be a bit slow at times, especially when you have a lot of boards and cards.
Based on our record, Trello seems to be a lot more popular than Google Cloud Dataflow. While we know about 242 links to Trello, we've tracked only 14 mentions of Google Cloud Dataflow. 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.
Communication & Collaboration Tools: Communication must be clear as crystal. AI-based project management tools such as Jira and Trello facilitate real-time collaboration with outsourced developers. - Source: dev.to / about 2 months ago
Budgeting and Planning: Setting a realistic budget that aligns with the project’s goals is an essential first step. Tools such as Trello and Asana can help project teams organize tasks and track financial planning efforts. Detailed budget management strategies are also discussed within the open source project budget management guides. - Source: dev.to / 3 months ago
Trello Trello.com Project management tool. - Source: dev.to / 3 months ago
Write down your daily tasks in a notebook. After completing each task, put a tick next to it. This gives you a great sense of reward like you’ve accomplished something. If there’s something you cannot work on during the day, record it in a task-management app like Trello or Todoist. - Source: dev.to / 5 months ago
Trello? I haven’t used it in … years, so I don’t know if it supports everything you need, though that was its original intended purpose https://trello.com/. - Source: Hacker News / 7 months ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
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.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Basecamp - A simple and elegant project management system.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?