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Workflow Orchestration

Workflow orchestration refers to the process of managing and automating complex workflows, ensuring that tasks are executed in the correct order and according to specified business logic. A workflow orchestration tool allows users to create workflows that can be scheduled, run, and monitored effectively. It provides essential features such as passing data between tasks, triggering ad-hoc runs, assigning custom schedules, and handling failures gracefully 1.

In essence, workflow orchestration tools help streamline operations by eliminating the need for extensive manual coding to manage task execution. They ensure that workflows are executed efficiently, with built-in mechanisms for error handling and recovery. This is particularly important in environments where workflows may involve multiple tasks that depend on one another, as it allows for better visibility and control over the entire process 1.

Overall, workflow orchestration is crucial for optimizing data flow and automating processes in various applications, especially within the modern data stack.

Workflow Orchestration vs. Data Orchestration — Are Those Different?

 Towards Data Science

Workflow Orchestration vs. Data Orchestration — Are Those Different? Let’s disambiguate the terms to understand workflow orchestration better — with a real-life analogy! Photo by Artem Podrez from Pe...

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Codify your workflow

 Towards Data Science

I think I’m like most data scientists in that there are certain things I tend to do repeatedly across projects: there are certain patterns I check for, or certain things I plot, or certain…

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What Should a Data Orchestration Tool Do

 Better Programming

One of the battles in the data domain is data orchestration and what’s the best tool for it. You hear about tool X and how it is dead, doomed to be replaced by this new open source tooling. Or you hea...

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Manage Your Workflows With Apache Airflow.

 Analytics Vidhya

Data is at the center of every business today. As companies become more reliant on data, the importance of data engineering continues to grow. Data engineering helps make data more useful and…

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Orchestrating Large and Small Projects With Apache Airflow | Real Python Podcast #142

 Real Python

Have you worked on a project that needed an orchestration tool? How do you define the workflow of an entire data pipeline or a messaging system with Python? This week on the show, Calvin Hendryx-Parke...

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User Workflows

 Codecademy

User workflows are navigational paths throughout a digital interface. They illustrate the path a user takes to complete a task, and there may be multiple workflows that different users take to complet...

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Kraken — Flow-based Service Orchestration Framework

 Better Programming

The article is a brief introductory description. Kraken combines the ideas of two other projects — ALF and Octopus, so it might be difficult to understand all the details from the article. I’m focusi...

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The What, Why, And When of Data Orchestration

 Analytics Vidhya

When most people hear the word orchestration, they envision an orchestra playing a symphony. At the front of every orchestra stands a conductor with his waving arms who prompts all the instruments in…...

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Introduction to Apache Airflow as the Job Orchestration: a Quick Tutorial for Beginner

 Analytics Vidhya

Airflow is a platform to programmatically author, schedule, and monitor workflows. It becomes a high-level of a cronjob. It helps us monitor covid19 data.

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Data Pipeline Orchestration

 Towards Data Science

DataOps teams use Data Pipeline Orchestration as a solution to centralize administration and oversight of end-to-end data pipelines. It is important to manage data pipelines right as it affects…

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A New Take on Analytical Workflow Management

 Towards Data Science

One of the most difficult problems I have faced as a fresh analytics professional is the ability to manage and prioritize my projects. Most of the work I do at my company I do solo as I do not have…

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Polymorphism: Workflow Builder

 Level Up Coding

This part is the second of our four-part series on polymorphism. In the first part, we introduced polymorphism and discussed why it is important to understand this powerful feature of object-oriented ...

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