At the moment, many companies and governments are still speculating on the concept of big data. Not because they don't want to do a good job, but because they are limited in two ways. One is that the data is small and difficult to use, and the other is that converting the experience isn't all that difficult.

What's the difficulty in getting big data off the ground? Small amounts of data can be hard to understand. How can we say the data is small when we have so much of it?

I personally participated in two government-led big data projects in Jilin and Shandong, and the small amount of data makes it difficult to use.

Why do I say the amount of government data is small, the amount of government data is not small, and when I say the amount of government data is small, I mean the amount of data available to the government is small.

First of all, the amount of data is small. Just in recent years, the government began to use electronic information work to accumulate data platform, early large amounts of data stored in the form of basic documents and papers in the government office warehouse, warehouse and Murray steadily found that the log is the same as the hair, and print data we can not use. Converting this paper data into paper data was a huge undertaking and required a lot of manpower and material resources. However, this crucial step is a thankless task. As a result, companies that take on big data business in government rarely touch it.

What are the difficulties of landing big data? What's available besides the ones that don't work? Yes, but there is so little of it. Basically, this problem can be solved with EXCEl instead of Big Data.

The other is data fragmentation. Each department's data is protected as a treasure to prevent other departments from taking it away, resulting in data fragmentation that can't be integrated. For example, if we want to build a smart city, we need at least integrated data from departments like transportation, weather data, human and social data, etc. But each department has its own hands to see the data and baby bumps and can't touch that data integration?

So many of the government's big data projects end up being cosmetic, and they end up visualizing bad data on a big screen and reporting it back to their leaders.

Where is the difficulty in getting big data off the ground? Big data engineers say it's all reflected here, with many organizations and governments still speculating on the concept of big data. This isn't because they don't want to do a good job, but because they are limited in two ways - can you handle it? If you're still worried that you're not getting started well, you can also click on other articles on this site to learn more.