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Big Data

VoltDB / Big Data

Big Data

What is big data? Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Amazon describes the term in the following way: "Big data can be described in terms of data management challenges that – due to increasing volume, velocity and variety of data – cannot be solved with traditional databases. While there are plenty of definitions, most of them include the concept of what’s commonly known as “three V’s” of big data: Volume: Ranges from terabytes to petabytes of data Variety: Includes data from a wide range of sources and formats (e.g. web logs, social media interactions, ecommerce and online transactions, financial transactions, etc) Velocity: Increasingly, businesses have stringent requirements from the time data is generated, to the time actionable insights are delivered to the users. Therefore, data needs to be collected, stored, processed, and analyzed within relatively short windows – ranging from daily to real-time."

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 to operate in real-time to make immediate decisions on streaming data or data in motion on both your customer facing applications that drive revenue or build brand loyalty – as well as those internal applications that help your business operate efficiently, reducing bottom line costs. Using analytics directly in the applications can help apply what you have learned to automate your business workflow and remove the manual components.

Recently, we hosted a webinar entitled “The Humble Cloud Architect: What is Your Database Strategy?” We had a number of excellent questions during that session, including some that we did not have the time to answer during the webinar. These questions are reproduced and answered below. For those who missed the webinar, you may view it on demand.

Editor’s Note: Unless otherwise noted, the question is coming from a webinar attendee via our chat functionality during the session. Answers were provided by VoltDB’s Seeta Somagani. These answers have been edited for clarity and grammar.

We did a survey last year to see how enterprises viewed the need for “real time” (see https://www.voltdb.com/blog/worlds-apart-real-time-data-disconnect). Since we are leaders in the fast data space, we wanted to try to gauge where companies were on the real-time maturity curve. The results were interesting, which...

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