Speed, Scale & Agility Delivered with Distributed Joins
Blog: Jim Sinur
Organizations are driving towards faster decisions and actions across more comprehensive ranging data sources than ever. Broader scope means multiple data sites because of business drivers alone. The distributed join is a query operator that combines two relations stored at different locations. Because the cloud-based distributed database creates many more data storage sites, the trend towards distributed joins is strong. The implication is there will be many more distributed joins in your future. This situation puts a premium on handling larger/broader scales of data and dynamic join capabilities.
Why the Move to Distributed Databases?
We all know that distributed databases allow local users or bots to manage and access the data in the local databases while providing global data management that provides global users with a global view of the data. Because distributed databases store data across multiple computers, distributed databases may improve performance at end-user worksites by allowing transactions to be processed on many machines instead of limited to one. Increased foresight with tuned distributed databases can be used for business transactions plus analytical-driven business strategy and tactics. The drive to the cloud leveraging incremental relocation and more operations occurring at the edge with intelligent automation all feed the distributed database trend.
Advantages of Distributed Databases
Distributed databases provide some real benefits in the agile world and fall typically into these four categories:
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