Prefect is a workflow orchestration framework for building resilient data pipelines in Python. - PrefectHQ/prefect
Prefect is a workflow orchestration framework for building data pipelines in Python. It's the simplest way to elevate a script into an interactive workflow application. With Prefect, you can build resilient, dynamic workflows that react to the world around them and recover from unexpected changes....
Data connectivity & integrationBuilding pipelinesGetting startedCreate a dataset batch pipeline with Pipeline BuilderCreate a dataset batch pipeline with Pipeline Builder In this tutorial, we will use Pipeline Builder to create a simple pipeline with an output of a single dataset with information on fli...
You’re a data scientist with experience with data modeling, business intelligence, or a traditional data pipeline and need to deal with bigger or faster data You’re a software or data engineer with experience in architecting solutions in Scala, Java, or Python and you need to integrate scalab...
was released, AutoGen (opens in new tab) has been widely adopted by researchers, developers, and enthusiasts who have created a variety of novel and exciting applications (opens in new tab) –from market research to interactive educational tools to data analysis pi...
I’ve been curious for a while about the best ways to integrate LLMs into biomedical and clinical text-processing pipelines. Given that Entity Linking is an important part of such pipelines, I decided to explore how best LLMs can be utilized for this task. Specifically I investigated the fol...
Download workshop datasheet(PDF 106 KB) Workshop Outline Introduction (15 mins) Meet the instructor. Create an account atcourses.nvidia.com/joinandhttps://catalog.ngc.nvidia.com. Learn about the course objectives and get comfortable with the format!
Examples include: • Intel® AI Analytics Toolkit for accelerating end-to-end machine-learning and data science pipelines: n Intel® Optimization for TensorFlow n PyTorch Optimized for Intel® Technology n Intel® Distribution for Python n Intel® Optimization of Modin n Model Z...
(Hooper et al., 2018); Chen et al. used public disclosure data to create city-wide urban models for energy use (Chen et al., 2019); and Yang and Papadopoulos et al. used public disclosure data to develop new target energy use intensity (EUI) models and elaborate on issues with ENERGY...
Companies, big and small, are starting to reach levels of data scale previously reserved for Netflix, Uber, Spotify and other giants creating unique services with data. Simply cobbling together data pipelines and cron jobs across various applications no longer works, so there are new considerations...