Big Data Guide: Strategic Importance of Keeping Track of Big Data
- by 7wData
Read this eGuide to discover the fundamental differences between iPaaS and dPaaS and how the innovative approach of dPaaS gets to the heart of today’s most pressing integration problems, brought to you in partnership with Liaison.
You are probably already feeling some of the impact of living in a data-driven world. You rarely come across a Google search that doesn’t answer your question, and often enough you find more than enough information to write your own tome on any topic you can imagine.
Moreover, your hard drive is probably filled with so much data accumulated over the years that you might wonder what would happen to all your data if it crashed and you hadn’t backed up everything. Fortunately, hard drive data recovery experts can quickly resolve this issue.
In one of his books, author Deepak Chopra narrates how his hard drive crashed when he was writing a book he had spent months researching. Since he had not yet backed up his data, he immediately experienced crushing despair. He had no idea how to reconstruct his pivotal ideas or retrace his in-depth research findings. Fortunately, he discovered that it was possible to completely recover a hard-drive and was amazed (and relieved) when he quickly got his restored hard-drive in the mail.
In four years from now, there will be 5,200 GB of data per person. International Data Corporation, a research group, believes that there will be 50 times more data in the next decade. In order to grasp how big that big data is becoming, let’s look at how measurements have increased over time:
You might be wondering how data is growing so fast. After all, as a species, we’ve done fairly well for ourselves with a comparatively little amount of data and now we’re talking about living in a world where the sum of human knowledge will be fifty times more?
Basically, we now have more ways to capture data. Not only are our computer systems getting better at storing information, but we are also collecting data from embedded systems.
You can find embedded systems all over the place like sensors in clothes, bridges, buildings, and medical devices.
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