For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations.
💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn’t involved, and no one agrees on what data truly matters. That’s where Critical Data Elements (CDEs) change everything.
Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate...
Since the term was coined, DataOps has expanded the way that people think about data analytics teams and their potential. 2020 was a huge year in DataOps industry acceptance. Media mentions of DataOps are on track to increase 52% over the prior year. To date in 2020,...
Laura Madsen, Author of Disrupting Data Governance, joins us to discuss how DataGovOps can be used to create a data governance program for the modern organization that supports, rather than stifles, the usage of data
How do you govern Self-Service Analytics without stifling innovation? Watch this webinar to learn how Self-Service DataOps Sandboxes give you the ability to balance agility with control.
Data teams using inefficient, manual processes often find themselves working frantically to keep up with the endless stream of analytics updates and the exponential growth of data. If the organization also expects busy data scientists and analysts to implement data...
Enterprises have adopted self-service analytics in order to promote innovation – self-service tools are ubiquitous. While data democracy improves productivity, self-service analytics also bring a fair amount of chaos. Enterprises are searching for ways to control...
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