Understanding fast data and its importance in an IoT-driven world by Kayla Matthews via @infomgmt

Processing high volumes and continuous streams of information in real-time with low to medium latency, it is scalable, has a high uptime and can quickly recover from failure situations.

I think for me you have to have :

- Clean Data - it has to be good data that is not rubbish.
- Data Management - you have to understand exactly what you have and what it means. It has to have consistent definition and there must be some sort of validation to make sure it is correct.
- Process Consistency - your processes have to be consistent too so everyone works off the same thing.

How You Can Improve Customer Experience With Fast Data Analytics by @Ronald_vanLoon and @jKoolCloud via @DataScienceCtrl

Using Fast Data Analytics you can take your data mining and analytics to the next level to improve customer service and your business’ overall customer experience faster than you ever thought possible.

This is a great article and really gives examples of what is possible if you use fast data analytics.  Definitely something that needs to be investigated and incorporated into your plans even if you aren't in a position to do this right now.

6 ‘data’ buzzwords you need to understand by Katherine Noyes via @NetworkWorld

Take one major trend spanning the business and technology worlds, add countless vendors and consultants hoping to cash in, and what do you get? A whole lot of buzzwords with unclear definitions. In the world of big data, the surrounding hype has spawned a brand-new lingo.

Not heard of all of these myself.

How You Can Improve Customer Experience with Fast Data Analytics by @Ronald_vanLoon via @Datafloq

Fast data is basically the next step for analysis and application of large data sets (big data). With fast data, big data analytics can be applied to smaller data sets in real time to solve a number of problems for businesses across multiple industries. The goal of fast data analytics services is to mine raw data in real time and provide actionable information that businesses can use to improve their customer experience.​

It sounds fantastic, but I truly believe this is becoming increasingly possible to achieve.

Is Fast Data the new Big Data? Why Big Data is No Longer Enough via @A2BData

Is Fast Data the new Big Data? Why Big Data is No Longer Enough by Ava Carmichael via @A2BData - What if the average time and effort you currently spent in your data extract processes for each object, per file or table could be reduced from thousands of hours to nearly zero?

Interesting points if you ignore the slant for their own product.

Fast Data - the next step after Big Data?

In this article from +InfoWorld by John Hugg of Volt DB he talks about processing data as it arrives which can be done via open source software by Apache's Storm (Twitter) or Kafka (LinkedIn).

It definitely makes since for such large volumes of data to process it as you add it to the database.