Revolutionizing Data Platforms: Insights for 2024
by Dustin Lyons, Founder
As the digital age progresses, data platforms are no longer just a collection of tools and technologies; they are becoming sophisticated products that cater to both internal and external users. Building and managing these platforms requires a combination of technical prowess and a visionary approach. Let's delve into three transformative trends that are shaping the future of data platforms.
1. Building Your Data Platform as a Product
Traditionally, data platforms were seen as a backend utility, a collection of tools and databases that stored and managed data. However, the modern approach emphasizes treating them as products. By doing so, we can streamline their development, make them more user-friendly, and increase their overall efficiency.
Much like any product, a data platform has users, requires technical infrastructure, involves planning, and demands support. Naming your platform, creating a unique identity, and marketing it internally can drive user engagement and make it more recognizable within the organization. By introducing a single point of entry and a consistent user experience, you simplify the process for everyone involved.
2. Asset-Based Approach Over Traditional Pipelines
The traditional method of setting up data pipelines revolves around writing instructions or code that outlines the operations to be executed. This can be cumbersome and prone to errors. On the other hand, the asset-based approach emphasizes declaring data assets and their relationships.
Tools like Dagster and dbt have paved the way for this new approach. They allow data engineers to define what data assets should exist and how they relate to one another, rather than how they should be created. This not only simplifies the process but also boosts efficiency and reliability.
3. Managing Data Platform Infrastructure as Code (IaC)
Infrastructure as Code (IaC) is a practice that has revolutionized how we manage and provision IT infrastructure. Applying this to data platforms can bring clarity, flexibility, and control. By defining your data platform resources in code, you can automate their lifecycle, ensuring that changes are consistent and reproducible.
Tools like Terraform allow for the seamless integration of IaC into data platforms. With IaC, you can easily scale, modify, or replicate your infrastructure, making it adaptable and resilient.
The Road Ahead
As we look to the future, it's evident that the way we perceive and manage data platforms is undergoing a significant transformation. By embracing these trends and continuously innovating, we can ensure that our data platforms are not only robust and efficient but also user-centric and forward-looking.