
Using Data Mesh to Advance Distributed Data Access, Agility and Governance
Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.
read moreBuilding datasets in a data lake boils down to developing, executing and monitoring graphs of computation. Traditional orchestrators focus on sequencing computations in production, but the graph is equally important when developing and testing changes, as well as when monitoring and debugging production datasets. Dagster is an open source orchestrator built for the full data lifecycle.In this talk, we’ll discuss how the orchestration graph helps answer some of the most important questions in data engineering. We’ll discuss how developing and testing with orchestration graphs enables early error detection on issues that are usually caught later in production. And we’ll talk about how the orchestration graph allows you to capture lineage in order to track all the runs and datasets that are upstream of a particular dataset.
Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.
read moreThe data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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