Using Elastic as a global data mesh: Unify data access with security, governance, and policy
Blog post from Elastic
Elastic's search analytics platform serves as a global data mesh, unifying data access while integrating security, governance, and policy. Unlike a data fabric, which only enables data delivery, a data mesh allows for the retrieval, analysis, and use of data across an entire network, provided users have the necessary permissions. The platform supports core functions such as near-real-time data access, integrated security, and continuous operations, while preventing data silos by offering a unified layer for data operations. Elastic's cross-cluster search (CCS) and searchable snapshots provide unique capabilities that allow distributed data clusters to be connected and searched as if they were a single entity, making the data mesh both cost-effective and scalable. This configuration aids in maintaining data availability and supports advanced analytics functions like machine learning and natural language processing. By enabling a unified data layer, Elastic's platform facilitates faster, more comprehensive business decision-making and supports modern security designs such as Zero Trust.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 5 | 2,527 | 623 | 172 | +6% |
| Zero Trust | 2 | 166 | 38 | 16 | -36% |
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