In today's world of computers, human life is very much dependent on technology. Our personal, professional, social life is fully dependent on data. Every second of our life, we are dealing with data. In earlier days, only people produced data and try to store it manually, but as the machines are becoming smarter, they are also producing the data. By 2017 it is estimated that 22.9 billion devices are actually connected to the internet, so without any manual interrupt, these devices are producing data. This data originated through mobile phones, laptop cameras, and many other electronic gadgets. Due to the huge amount of data, challenges of data management arises.
"Big Data" but it's not just a large amount of data; it is a concept that actually explains gathering the data, organizing, analyzing, and getting the information out of data so big data is a huge amount of Data having the ability to store and process the data and help us to find out hidden facts and information from the data collection.
Data is our most valuable resource. Big data is essential in various healthcare, banking, stock market, education, manufacturing, traffic control, insurance, industry, and many other sectors. Big data analytics has helped healthcare improve by providing personalized medicine and prescriptive analytics, clinical risk intervention and predictive analytics, waste and care variability reduction, automated external and internal reporting of patient data, standardized medical terms, patient registries, and fragmented points solutions.
Some big data facts at every 60 seconds:
1.168 million emails
2. 11 million instant messages
3. 98000 tweets
4. 695000 Facebook status updates
5. 698445 Goggle searches
When big data is effectively and efficiently captured, processed, and analyzed, companies can gain a complete understanding of their business, customers, products, competitors, etc.
Big data mainly originated from weblogs, sensor networks, social media, internet text and documents, internet pages, atmospheric science, astronomy, biochemical records, scientific research, military surveillance, and many more.
Big data is a collection of data sets that is so large and complex that it becomes difficult for the processor than on-hand data management tools or traditional data processing applications. Big data technologies help to respond to volume, velocity, and variety.
1. Volume: The scale of information processed helps define big data systems. These data sets can be orders of magnitude larger than traditional ones.
2.Velocity: Another way big data differs significantly from other data systems is the speed at which information moves through the system. Data is frequently flowing into the system from multiple sources and is often expected to be processed in real-time.
3. Variety: Big data problems are often unique because of the wide range of both sources being processed and their relative quantity. It contains various formats, structures, videos, sequences, time series, social media data, multidimensional arrays, etc. Single applications can be generating or collecting many types of data. To extract knowledge of all these types, data need to be linked together.
1. Volume: The scale of information processed helps define big data systems. These data sets can be orders of magnitude larger than traditional ones.
2.Velocity: Another way big data differs significantly from other data systems is the speed at which information moves through the system. Data is frequently flowing into the system from multiple sources and is often expected to be processed in real-time.
3. Variety: Big data problems are often unique because of the wide range of both sources being processed and their relative quantity. It contains various formats, structures, videos, sequences, time series, social media data, multidimensional arrays, etc. Single applications can be generating or collecting many types of data. To extract knowledge of all these types, data need to be linked together.
At last, I want to say big data give you to represent knowledge effectively and efficiently.
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