Today I have am a sharing excerpts from a guest post and a big data infographic by James at vouchercloud in the United Kingdom. After all the news the past two months and more on the way from Amazon re:Invent 2016, I thought an infographic might be a nice intellectual diversion.
Coming Soon: IBM World of Watson Solutions
Stay tuned for more overviews of the IBM Watson ecosystem soon. I finally was able to sort through an absolutely overwhelming mix of offerings in the IBM Watson Solutions Guide, IBM Watson Developer Cloud APIs (fun Personality Insights demo and easy bot samples), IBM Watson Explorer, IBM Watson Knowledge Studio, IBM Watson Analytics (upcoming deep dive), IBM Watson Data Platform and Data Science Experience (covered last month). It was no easy or lazy feat!
Ironically, I still find more and more from IBM. Free Data Scientist Workbench looks cool. So do most of the featured data and analytics solutions. My head is full at the moment… I had no idea IBM had so many analytics and cognitive solutions. The Twitter tagline #IBMWoW is appropriate.
Speaking of sooooooo much stuff to sort through in a big data world, I also plan to write more on IoT, Spark, Google Big Query and Salesforce Wave Analytics. In the meantime, here is the guest article and infographic by James.
Everyday Extreme Big Data
Data has rapidly increased in size and quantity across the past few years, with 90% of all the world’s supply having been created within the last two years alone.
Every single day we create 2.5 quintillion bytes of data.
With figures like that, it’s no shock data continues to expand at a near un-fathomable rate.
Characteristics of big data
As time and technology has advanced, so too has the immense demand for regular data usage. Across the past three decades the stats have significantly altered:
- 1992 – 100GB used a day
- 1997 – 100GB used an hour
- 2002 – 100GB used a second
- 2013 – 28,875GB used a second
- 2018 – estimated 50,000GB used a second
With 3 billion people able to access the internet on a daily basis (a 14.3% boost in numbers between 2011 and 2013 alone), it’s perhaps unsurprising these figures have continued to rise at an increasingly rapid rate.
The velocity – the speed at which data can be processed, stored and analysed – has also risen as a result.
On a minute-by-minute basis it is guestimated that 216,000 Instagram posts are made, 204 million emails get sent, and 277,000 tweets get blasted.
Here is a partial peek at James big data infographic. If you’d like more big data stats and how big data usage impacts the global economy, check out the original article.