The exponential growth of data outpaces network speed, leading to isolated data scenarios that can hinder efficiency. It is crucial to run computational processes near the data sources to enhance performance, security, and data governance. By locating computation where data resides, organizations can significantly reduce latency, improving overall system performance. Additionally, this approach strengthens security protocols as data remains in its original location, minimizing exposure risks. Effective data governance is achieved as it allows for better control and compliance with regulations regarding data handling.
Large datasets require large computational resources to process that data. More frequently, where you process that data geographically can be just as important as how you process it.
Expanso provides job execution infrastructure that runs jobs where data resides, to help reduce latency and improve security and data governance.
David Aronchick is the CEO of Expanso. He previously worked at Google on the Kubernetes team, which influenced his decision to start Expanso. David joins the show to talk about his company.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
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