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While Asana is a robust task management and project planning tool, in my experience, it falls slightly short when compared to Trello, particularly in terms of user-friendliness and simplicity. Asana offers a variety of features such as multiple project views (list, board, timeline, calendar), custom fields, and reporting tools, which can be highly beneficial for complex project management. However, I found that the learning curve can be steep, especially for team members not familiar with this type of software. The interface, while feature-rich, can feel a bit cluttered and overwhelming for new users. On the other hand, Trello shines in its simplicity and straightforward design. The visual card and board system is intuitive and easy to grasp, making it a more accessible tool for team members of varying tech proficiency levels. Additionally, Trello's user interface is cleaner and more streamlined, which contributes to an overall more enjoyable user experience.
In terms of collaboration, both tools provide good collaborative features like commenting, tagging, and task assignment. However, I appreciate Trello's flexibility with its Power-Ups, allowing integration with a wide array of apps which enhances its functionality. In conclusion, while Asana is a powerful tool with extensive features, I prefer Trello for its ease of use, simplicity, and intuitive design. However, I do see the value of Asana for larger teams or more complex projects.
Asana is a popular project management tool that has a lot to offer. It is fast and versatile, making it easy for individuals and teams to collaborate and get things done. The interface is clean and user-friendly, and there are plenty of features to help you organise and track your projects.
However, while Asana is a good tool, it is not the best on the market. One of its main weaknesses is its lack of advanced reporting and analysis capabilities. It can be challenging to get a comprehensive view of your projects and how they are progressing, especially if you have a large number of them.
Another issue is the cost. Asana can be expensive for teams with a lot of members, especially when compared to other project management tools that offer similar features at a lower price point.
Asana is a very representative app for the work environment I'm a part of with team members and users it's stellar for: • To manage it on the web and portable devices • With option and manageability on the web • To set up projects and invite team members. • The projects have a roadmap to know the displacement of each activity. • Tasks can contain subtasks to keep track of work • Allows granting tasks, define expiration periods. • Effective and useful for adding files, making comments, and tags.
Based on our record, Asana seems to be a lot more popular than Apache ORC. While we know about 86 links to Asana, we've tracked only 3 mentions of Apache ORC. 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.
Asana.com — Free for private project with collaborators. - Source: dev.to / 4 months ago
Asana: Another project management tool that provides task assignment and progress tracking features. [Official Website]. - Source: dev.to / 5 months ago
You could check out Asana, Monday, ClickUp and GoodDay for example (I use the latter). Source: 7 months ago
For most teams who don't have the option to subscribe to popular Project Management apps like JIRA, Asana, ClickUp, or Monday, you can make use of GitHub's issue management system to track the bugs in your application. - Source: dev.to / 9 months ago
Asana is the gold standard when it comes to a project management tool, allowing teams to organize tasks, track progress, and keep everyone on the same page. With a focus on visual task management, Asana enables you to map out all your projects in customizable boards, lists, or timeline views, with deadlines and dependencies all there to see. Not only that, but teams can extend Asana's functionality even further by... - Source: dev.to / 10 months ago
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / over 2 years ago
The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / almost 3 years ago
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.
Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
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.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Basecamp - A simple and elegant project management system.
Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.