"Despite society's always-on expectations, many enterprises still accept application downtime as an unavoidable side effect of migrating to Big Data technologies, or updating applications," said Carl Olofson, Research Vice President, Application Development and Deployment, IDC. "Enterprises also tend to equate Big Data with Big Money, and when economic uncertainty is still very high, they need ways to save while still enabling innovation. Standards-based, open source NoSQL technologies are rare, but they are hugely important for combatting both of these challenges, and for allowing enterprises to handle Big Data's inherently uncertain future."The Versant JPA SDK also includes multiple technical previews that allow enterprises to take a large step toward implementing a complete Big Data architecture. Technical previews shipped in the Versant JPA SDK include:
- Versant's Hadoop Connector, which allows enterprises to easily ingest data from a map/reduce process into their datastores.
- Versant's R-Integration, which enables enterprises to import data into the hugely popular open-source R analytics framework to perform statistical analysis.
- Versant's Java-based analytics framework, a fast, scalable, and sophisticated way for enterprises to ingest, transform, and efficiently aggregate data from multiple sources into existing data models.
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