From the course: Data Management Essential Training

Roles and responsibilities in data management

From the course: Data Management Essential Training

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Roles and responsibilities in data management

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- [Narrator] As you've guessed, creating and implementing an effective data management strategy is a big job. There are many stages of the lifecycle to think about and key concepts that need to be considered at every step of the way. This can't be completed by one person or even one team. Let's think about the many roles that play a part in our strategy and how these teams need to collaborate together in order to be successful at this goal. First, we have our data stewards. These folks are responsible for data quality, which we already know how important this job is. Next, our data analysts. This is the team that starts to analyze the data and pull out insights and findings. All right, let's talk infrastructure. These are my favorite roles because it's usually where I find myself. First up, data engineers, responsible for designing and maintaining our infrastructure. You can probably find these folks building pipelines and ensuring everything is scaling smoothly. And some more specific infrastructure folks are the database administrators, ensuring our data is backed up, high availability is configured, and disaster recovery is in place to make sure our databases are well looked after. We then have our data scientists. This team is busy applying statistical models and machine learning techniques to reveal insights and findings from the data. They will help to build predictive models and perform advanced calculations and analytics. We then have two teams who work throughout the whole data management lifecycle. Our IT security team, responsible for protecting from unauthorized access, defending against hacking attempts, and generally keeping everything secure. A similar role and our final team to discuss today is our governance team. They are also involved throughout this whole process, ensuring that legal and regulatory needs are met and reviewing frameworks and policies that act as guardrails to keep things in perfect order. Now we've got the teams identified. Let's move on to discuss some common pitfalls and how we can avoid those.

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