
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 moreJupyter notebooks are ubiquitous in data science workflows today due to their power and flexibility. However, they do have some drawbacks, including the much discussed issues of hidden state and legibility of logic flow. To address these problems at Hex, we’ve augmented the IPython kernel to allow for reactive execution of both Python and SQL. This talk will discuss the pros and cons of the traditional IPython execution model versus a reactive model, as well as dive into our implementation of reactive notebooks under the hood.
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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