Apache Pig
Looker
Jupyter
Google BigQuery
Presto DB
Databricks
Rakam
Informatica
Doneit
Motion
Everlist Task Manager
Things
Routine
Todoist
Week
Thursday
Meet Doneit, a feature-packed projects and tasks manager that focuses on simplicity and organization.
With Doneit, you don't need to worry about your tasks lists ever being messy because it was designed to help you better organize all of your daily to-do's, work projects, and more, and its main goal is to help you become more efficient and start accomplishing all of your tasks and goals quicker, no matter how small or big they are, because Doneit will definitely help you see the full picture of what should be done now and what can wait until the later day.
With Doneit, you can manage your tasks and projects of any complexity with different tasks views, such as list, grid, Kanban board, and timeline which can be quite helpful when managing the long-term projects. You can also effortlessly switch between the tasks views depending on the needs of your projects.
Doneit offers an extensive variety of customization options that you can take advantage of to make the app feel more unique to you, such as an ability to customize the main screen of the app, an option to change the tint color of the app or its icon.
There is also a dedicated screen with all of the tasks settings that you can configure to easily make your tasks lists in the app fit your various needs, such as an ability to either view all of the tasks in a timeline view or only the ones with reminders enabled, an option to hide an 'Unassigned' section from the Kanban board or place it at the very end of it, as well as an option to customize the appearance and visibility of the tasks' badges that show different information about the task, such as its due date, assigned tags or its priority that can help you simplify the way your tasks look in the app or make them as detailed as you wish.
DoneitApache Pig is recommended for data engineers and analysts who are working in Apache Hadoop environments and need to perform ETL (Extract, Transform, Load) operations on large datasets. It is also suitable for teams looking to leverage existing Hadoop infrastructures without delving into complex Java MapReduce programming or when migrating legacy processing scripts based on Pig Latin.
No Doneit videos yet. You could help us improve this page by suggesting one.
Based on our record, Apache Pig seems to be more popular. It has been mentiond 2 times since March 2021. 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.
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / almost 4 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / almost 5 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Motion - All-in-one time management tool in Firefox
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Everlist Task Manager - Groceries, trips, errands, and daily todos managed simply. get your tasks under lovely control.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Things - Things is an easy to use task manager.