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applications

Don’t Accept Data Loss when Upgrading to In-memory Database Performance

Tuesday, May 20, 2014

Data loss is the enemy of businesses everywhere. Snapshots, replication, active-active architectures, even physical measures such as backup generators are used to ensure data is preserved as it enters and is used or warehoused by the enterprise. Most companies use a database to manage this data and extract intelligence from it; therefore, the database has an important role in preservation of data – durability in database-speak.

 

As data wends its way through ingestion, transactions and analysis, many databases rely on frequent writes to disk to ensure data is durable, even in the event of

Introducing Fast Data: Smart and at Scale - VoltDB’s new ‘recipes’ eBook

Friday, September 11, 2015

Just in time for Strata + Hadoop NYC, Ryan Betts, VoltDB founding developer and CTO, and John Hugg, VoltDB founding developer have written a great eBook for O’Reilly Media - Fast Data: Smart and at Scale: Design Patterns and Recipes.

 

The question this book tries to answer for developers, enterprise architects and others is: How do you develop apps that combine real-time, streaming analytics with real-time decisions, using an architecture that's reliable, scalable, and simple?

What's missing from IoT thinking: side effects

Thursday, March 31, 2016

IoT data management platforms must manage both data in motion (fast data) and data at rest (big data). As things generate information, the data needs to processed by applications. Those applications must combine patterns, thresholds, plans, metrics, and more from analytics run against collected (big) data with the current state and readings of the things (fast).  From this combination, they need to have some side effect.

 

That’s the part of IoT - and modern data management in general - that isn’t discussed enough: the side effects.