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Nowadays, big data is not new to us. Some of us use big data almost everyday, but how to extract web data that is high-volume in a short time? we will talk something about it.
“Advances in data gathering, computing power and connectivity mean that we have more information than ever before at our fingertips. IBM estimates that by 2020 there will be 300 times more information in the world than there was in 2005.” – John Hsu, Guardian Journalist
Large volume of data will stay in WEB and APP. So we can say, web data capture is part of big data architecture and offers the basic data source for big data architecture.
When we want to make text corpus, we need artificial intelligence to fetch data needed.
When we do some consumer behavior analysis, we need to collect comments on social media platforms.
When we make marketing pricing strategies, we need to track the prices and collect the data.
When we want to win at betting, we need to do extract enough gambling historical data to do analysis.
To accomplish these things above, we need hundreds of thousands of data. But most of the data on the Internet is unstructured data, and it sounds quite troublesome to extract such kind of data. In this case, you need someone who is good at writing a web crawler, developer for example, to create such a crawler for you to extract web data you need. Besides, you need to test the code after you finish writing before you spend most of your time and energy to collecting data, for a whole day with some cups of tasteful coffee. Don't you think that it's boring?
We can go online and ask for help. Google "web data extractor" and you will find many useful tools available for you to meet your different needs. And you have to pay for the service or purchase their packages.