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 […]
How Volt Active Data Serves Machine Learning Models in Real-Time
In my previous blog on big data analytics, we discussed how to apply your big data analytics to real-time applications. The idea is that, if you have built analytics on your data, the next step is to use the analytics directly in the applications to automate your business workflow and remove the manual components. In this […]
The 3 Horsemen of the Legacy System Apocalypse
The world is speeding up; people expect customized information and services immediately. In these tumultuous times, some companies are clinging to their legacy data infrastructure as a security blanket. However, traditional RDBMSes are just not able to provide the massive scales, edge distribution, and virtual or cloud deployments that are necessary for modern applications. In […]
Volt Active Data Innovation Week: Driving Product Roadmap
Recently we held our Q1 Innovation Week, culminating in presentations and voting on the innovation projects created by our engineering staff. Volt Active Data engineering is a Agile scrum organization, with two week sprints, and product releases every other sprint. Innovation week occurs one week every quarter. During this week engineers work on a self-directed […]
How Real Time Are Your Analytics?
Not surprisingly, your business has collected a lot of data over the past few years, and you have used some analytical databases or data warehouses to organize and understand your insights. Congratulations, you have taken the 1st step with your data strategy, and produced analytics that will help drive your business! Meanwhile, your applications need […]
Volt Active Data Releases V8
Volt Active Data is pleased to announce V8. Our engineering team has spent the last year adding features across the product to bring you the fastest database to handle millions of decisions per second, with single-digit millisecond latencies. Volt Active Data’s customers use this power to solve real business problems that require prectibable low latency, […]
Using UDF for Machine Learning
Fast Data Pipeline Design: Updating Per-Event Decisions by Swapping Tables
Volt Active Data 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 […]