You’re looking to build a data engineering strategy. What’s the best way to start?

Powered by AI and the LinkedIn community

Data engineering is the process of designing, building, and maintaining the data infrastructure that supports data analysis, machine learning, and business intelligence. It is a crucial skill for any organization that wants to leverage data for decision making, innovation, and competitive advantage. But how do you create a data engineering strategy that aligns with your business goals, meets your technical requirements, and delivers value to your stakeholders? Here are some steps to help you get started.

Key takeaways from this article
  • Define your data vision:
    Start by articulating the purpose and goals of your data engineering efforts. This ensures alignment with business objectives and helps communicate the value to stakeholders.### *Assess current infrastructure:Conduct a thorough audit of your existing data landscape to identify strengths, weaknesses, and gaps. This will provide a clear picture of what needs improvement and guide your strategy moving forward.
This summary is powered by AI and these experts

Rate this article

We created this article with the help of AI. What do you think of it?
Report this article

More relevant reading

  翻译: