What are the different sources of Big-data and what are the different types of data?
Note:
If you did not get to read the previous post in this series, follow the link: Series 1 Part 3
Welcome to the blog post; sources of Big-data and the source types.
“The primary sources of Big Data are data generated by machines, people, and organizations..”
Big data can be either structured, semi-structured, or unstructured.
Machine Generated Data:
Machine-generated data we refer to data generated from #real-time sensors in industrial machinery or vehicles that logs that track user behavior online, environmental #sensors or personal health trackers, and many other sense data resources.
Human Generated Data:
Human-generated data, we refer to the vast amount of social media data, status updates, tweets, photos, and media.
Organizational Generated Data:
Organisational generated data we refer to more traditional types of data, including transaction information in databases and structured data open stored in data warehouses.
Some Facts:
Walmart handles more than 1 million customer transactions every hour.
Facebook stores, accesses, and analyzes 30+ Petabytes of user generated data.
230+ millions of tweets are created every day.
More than 5 billion people are calling, texting, tweeting and browsing on mobile phones worldwide.
YouTube users upload 48 hours of new video every minute of the day.
Amazon handles 15 million customer click stream user data per day to recommend products.
294 billion emails are sent every day. Services analyses this data to find the spams.
Modern cars have close to 100 sensors which monitors fuel level, tire pressure etc. , each vehicle generates a lot of sensor data
Conclusion:
Real value often comes from combining these streams of data sources and analyzing them to generate new insights.
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