DataOps: A New Methodology for Data Lakehouse Management

Presented by

Anushka Anand, Direct Product Management, Dremio and Kevin Petrie, VP of Research, Eckerson Group

About this talk

Becoming a data-driven organization is a top priority for most executives. The newest and fastest-growing data sources across organizations are already being stored in cloud object storage. One of the biggest data-driven business problems is data lake management. As the demand for data requests increases, it becomes more difficult to deliver data products to end users. Simplify data lake management at scale with DataOps -- a new paradigm taking software engineering principles of source code repositories and treating your data as code. In this webinar, learn new capabilities for data lake management as we discuss DataOps best practices on: - Continuous integration and deployment (CI/CD) - Data pipeline testing for quality - Data lake governance

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Dremio is the easy and open data lakehouse platform, providing an intuitive UI that enables data teams to get started with analytics in minutes, as well as the flexibility to use Dremio’s lightning-fast SQL query service and any other data processing engine.