Data Engineering for Beginners

CHAPTER 10Data Governance

In the early days of technology, data was much simpler, mostly on paper records or small digital files stored on local computers. Fast-forward to today: Organizations generate massive amounts of data every second. With that growth, regulations and frameworks are needed to ensure that data is managed responsibly. This is where data governance comes in. I know data governance might sound like a dry, bureaucratic concept, but it plays an important role in any organization. Think of it as a rulebook that ensures data is high-quality, well organized, secure, and accessible to the right people. It also ensures that everyone interacting with data knows their responsibilities and follows best practices.

The two major pillars of data governance are security and quality, both of which were covered extensively in earlier chapters. But governance goes beyond just protecting data and keeping it clean; it’s about creating a structured approach and a template to manage data across an organization ethically and efficiently.

IN THIS CHAPTER, WE’LL EXPLORE:

• A simple analogy to explain data governance
• The key components of data governance
• Policies and processes that guide data governance
• Common regulatory policies and their guidelines
• How data is classified and disposed of in an organization
• Metadata management and why it matters
• The roles and responsibilities involved in governance and their impact on an organization

By the end of this chapter, you’ll have a comprehensive ...