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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Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.
[Open Source, Enterprise]
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Monitor every date pipeline, from source to customer value, & find problems fast
[Open Source, Enterprise]
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Orchestrate and automate your data toolchain with few errors and a high rate of change.
[Enterprise]
DataOps Consulting, Coaching, and Transformation
Commercial Data & Analytics Platform for Pharma
Data Production Teams
Data Science/AI
Data Engineering
Data Quality
Business Analytics
Data Products
Data Mesh
Data Contracts
ModelOps / MLOps
DataGovOps
Self-Service Operations
Data Quality Assessments
Data Quality Testing
Data Observability
Data Orchestration
Monitor every Data Journey in an enterprise, from source to customer value, in development and production.
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Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.