A pristine data lake is great for capturing vast amounts of structured and unstructured data. But it can get murky fast. Conflicting definitions, bits of gibberish, and disconnected data can prevent your users from seeing below the surface to find the data they need. Data governance can help.
Data lakes are tremendously scalable and flexible, accommodating all types of data—and lots of it. Data lakes can help organizations make better use of their data more quickly, affordably, and at scale. But if the data lake is unstructured, ungoverned, and out of control, organizations can easily lose track of their data, its context, and its meaning.
YOUR DATA LAKE HEALTH CHECK
How do we make sure the data sitting in our data lakes yields consistent, trustworthy insights?
A governed data lake provides a policy-driven process to help people use data more effectively. A governed data lake delivers insight into how data is organized, classified, and connected. It can provide a common language for understanding disparate data sets. And it can help data users trust the integrity of their data and understand when and how they can use it.
NAVIGATING THE DATA LAKE
What if you could:
A governed data catalog can provide a fast and cost-effective way to deliver the information your business users need to accelerate decision making. With a governed data catalog, data can be linked to agreed-upon definitions about quality, trustworthiness, and use. Data users can determine which data is fit-for-purpose—and which should be discarded or ignored because it’s incomplete or irrelevant.
CONTROL OR COLLABORATION?
What’s the best way to manage a data lake? Will your organization impose draconian rules and policies? Or find a way to work collaboratively to define rules about data’s meaning and use? Shaping your data lake into a dynamic tool that can drive innovation is achievable when that data is easy to find, understand, and trust.