• VoltDB
  • Tag: fast streaming data

Tag: fast streaming data

6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production

Reasons Machine Learning Projects Fail

There is a massive difference between generating the input data needed by a Machine Learning model once (to prove a concept), and doing it continuously, indefinitely, at scale, and within short time periods. Years of experience working with disparate and imperfect data sets lead me to suspect that people trying to move desktop scale ML […]

What the **** is Translytics / a Translytical Database?

Data is often repeated as the lifeblood of modern business. Companies use data to drive decisions and strategies, as well as run applications based off those decisions (which in turn generates new data for decisions and strategies, which new applications are based off, and so on). Many data stacks can be generalized into having multiple […]

Beyond Analytics to Real-time Decisions

Companies and business leaders are increasingly realizing the advantages and opportunities provided by implementing real-time decision making and action on streams of data. Joe McKendrick, writing for the DBTA thought leadership series, sees the trend as well — and has the evidence to prove it. He notes that a Unisphere/Information Today, Inc. survey “found that […]

Fast Data Pipeline Design: Updating Per-Event Decisions by Swapping Tables

Fast Data Pipeline

VoltDB was one of the first companies to enable a new modern breed of applications, applications that combine streaming, or “fast data”, tightly with big data.We call these applications Fast Data Pipelines. First, a quick high-level summary of the fast data pipeline architecture:   The first thing to notice is that there is a tight […]

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