During a time characterized by uncertainty and an unparalleled change, businesses and the global economy must demonstrate resilience to weather the storm. As a relatively new position in enterprises, Chief Data Officers (CDOs) have had to prove their resiliency every …
In this report, five data industry thought leaders explore DataOps—the automated, process-oriented methodology for delivering clean, reliable data across your organization.
Download this white paper to learn how Tamr uses machine learning to help organizations build a data-driven approach to taxonomy design.
Tamr’s CDISC Conversion Solution tackles data challenges with a powerful data harmonization process, driven by human-guided machine learning that can replace traditional in-house tools prone to delays and errors.
When it comes to data quality and availability, there is a gap between expectations and reality. Download this ebook to learn how Agile Data Mastering can solve common data challenges.
What exactly is machine learning? And, more importantly, what are its applications for common challenges that enterprises encounter with Big Data?
What is data stewardship and what are the areas where machine learning can help data stewards? Download our guide to machine learning to find out.
In this chapter from the book Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker, Ihab Ilyas discusses the academic project that eventually become Tamr.
In this chapter from the book ‘Making Databases Work’, Nik Bates-Haus discusses his experience recruiting Tamr’s core engineering team and building the first release of the company’s commercial product for data unification.
In this chapter from the book ‘Making Databases Work’, Andy Palmer discusses what it’s like to run a company with Michael Stonebraker.
The process of migrating your data to new software is a lot like moving into a new house: you want to consolidate and clean. That’s the role played by Tamr’s data unification and cleaning services during a migration.