Tag: data governance

The large language model (LLM) wars have begun. As we quickly approach the peak of inflated expectations for ChatGPT and other generative AI technologies, it is a good time to explore the growing chorus of vendors releasing new and AI-washed…

Data governance has become an essential agenda item for many organizations. The reasons are varied, but two of the most compelling ones are: (1) as the number of data assets grows, it becomes harder to properly control access to them;…

As the amount of data organizations collects grows, managing that data becomes increasingly complex. That’s where data governance comes in: the process of managing the availability, usability, integrity, and security of the data used in an organization. Snowflake has implemented…

Our previous post discussed how data governance is an enabler when implemented early and aligned with data strategy initiatives. The application of data strategy priorities as part of our data governance programs ensures teams can deliver high-quality and trustworthy data….

Our previous discussion focused on the data retention aspects of our data governance programs. Policies must be defined early, shared via data literacy programs and technical controls built to automate the retention, protection and purging of data. These policies are…

Previously we discussed the growth in certain types of data, specifically data lineage. Data lineage information allows us to programmatically build systems that respond to changing conditions of data access, data quality and consumption.   Another type of data that is growing…

Previously, we discussed metadata and how it has become the connective glue in modern data architectures that allows different technologies to have common layers of reference for process and access automation. Centralized metadata storage through common data catalogs and features stores…

Episode 60 Shownotes Welcome to another episode of the Datascape Podcast. VP of Analytics Joey Jablonski joins us to discuss data-related trends and challenges, as well as his 20+ year career in technology, including his time at the US Department…

In our previous discussion, we explored the role of data stewards and their vital function for data governance programs. They’re the champions that identify data quality shortfalls and work with business partners to improve data quality. Data stewards are the…

In our previous discussions, we evaluated how to kickstart our data governance programs. We discussed the cultural principles to be set, priorities to be communicated, and roles and responsibilities to be established. These elements ensure alignment in execution for data…