SQLBits 2024
Value of DevOps Release Process in Data Teams
Have you ever wondered why release plans, approaches, and environments are important in the world of data operations? Many data professionals come from various backgrounds without prior software development experience, leading to questions about the necessity of these concepts.
In this session, we will discuss the significance of DevOps Release Processes for data teams. We will explore how insufficient processes can lead to delays in deployment, introduce breaking changes, hinder team collaboration and result in multiple releases.
Have you ever wondered why release plans, approaches, and environments are important in the world of data operations? Many data professionals come from various backgrounds without prior software development experience, leading to questions about the necessity of these concepts.
In this session, we will discuss the significance of DevOps Release Processes for data teams. We will explore how insufficient processes can lead to delays in deployment, introduce breaking changes, hinder team collaboration and result in multiple releases.
This session will explore why DevOps, release processes, plans, and development environments (dev, test, and prod) are essential for growing data teams. Will examine different branching strategies like GitFlow and GitLab Flow, weighing the pros and cons of each.
By the end of the session, you'll not only understand the importance of these practices but also see how they are applied in data teams. You'll discover how they help streamline processes, improve collaboration, and reduce risks in data projects.
In this session, we will discuss the significance of DevOps Release Processes for data teams. We will explore how insufficient processes can lead to delays in deployment, introduce breaking changes, hinder team collaboration and result in multiple releases.
This session will explore why DevOps, release processes, plans, and development environments (dev, test, and prod) are essential for growing data teams. Will examine different branching strategies like GitFlow and GitLab Flow, weighing the pros and cons of each.
By the end of the session, you'll not only understand the importance of these practices but also see how they are applied in data teams. You'll discover how they help streamline processes, improve collaboration, and reduce risks in data projects.