How to take advantage of big data to find opportunities?

In the era of big data, the volume of data is increasing, so there are two fundamental questions to show in front of us that is, one, how to store massive amounts of data, and the other is how to analyze the massive data, transform the data into real business opportunities? The following new brother will be with you in detail to explore.

Massive data storage has always been a very important problem, because of the continuous development of technology, people for the storage of massive data has a new way, that is, the use of distributed systems to store massive amounts of data. When the traditional database cannot solve the existing data storage problems, like Oracle database is a relatively classic relational database in the absence of the distributed solution we are now using, many large storage vendors will use Oracle to store data, but as the data continues to expand, Oracle database has not been able to meet the needs of people.

Traditional data storage requires high cost, data sharing and limited computational query ability. But we use distributed computing, which is represented by the Hadoop ecosystem, and the storage cluster is a good solution to this problem, and the most important thing is the lower cost.

Big Data cluster can achieve massive data storage, data sharing, data analysis and so on, and solve the problem of data backup, traditional storage if the data is lost backup fortunately recovery, if it is not backed up, it is difficult, but like a cluster such a problem will not occur, because if a machine in the cluster is broken down Does not affect the integrity of the data in the cluster because the data is backed up on other nodes, because there are so many benefits, more and more companies will choose to use a distributed data storage solution.

Big Data technology is a very popular profession, more and more friends are learning, new PA in the first two articles mentioned a solution to the big data Hadoop offline data analysis solution, found a lot of friends of this technology is very interested in, very want to learn, in fact, there are many new skills, New PA is also constantly learning, because big data in this area of water is very deep, all the information is English, looks very laborious. But as long as you insist on it, there must be a harvest.

For the novice, the new PA proposed or to learn from the most basic aspects, more look at the official Hadoop documents, these are useful information, some of the online translation of some of the documents are problematic, may create some understanding of the obstacles to beginners. If you're really interested in Hadoop, it's a good idea to look at official documents and talk to your new brother.

Many recruitment sites from now can be seen, big data companies have certain requirements for big data talent, to understand a data processing method, encountered problems can be solved, for big data solutions to know from the establishment of the cluster to the data storage, data analysis, data mining and so on. There is a whole set of solutions to be done here.

With huge amounts of data, building a business model can serve people well.

There are monitoring systems everywhere in our lives, and if we can get these data, in the use of big data analysis, so traffic violations can be in a short period of time to notify the illegal driver.

If you are sick and are not going to the hospital for treatment, the hospital will use big data to build better models to quickly better treat diseases and alleviate the suffering of pain.

The financial industry can also take advantage of big data analytics to provide users with a reasonable set of financial solutions that will allow you to gain even greater benefits.

After reading the above introduction believe you have found a belong to their own entrepreneurial direction, the traditional industry in the cloud driven by a lot of changes, but also there are a lot of business opportunities we can find. Well, the new PA is writing here today, if you want to learn big data on the knowledge of advice more look at the source, because these are the most core technology.

How to take advantage of big data to find opportunities?