Why the company's big data business is based on the Hadoop solution

The main reasons for choosing Hadoop are the following three points: 1. reduce costs; 2. Ecological circle Mature; 3. Can http://www.aliyun.com/zixun/aggregation/7432.html "> Solve problems.

One, can help us to solve any problem

Now no matter at home and abroad large companies, for large data are very eager, will do all the means to collect all the data, due to the asymmetry of modern information resulting in continuous data changes, a large number of information can be obtained through data analysis.

There are a lot of sources of data, the format of large data will become more and more complex, and time will produce more and more data. So data storage and data based computing can make the traditional database into a bottleneck.

And Hadoop was born to solve this problem. Let the bottom of the distributed file has a very strong scalability, through data loss for data will not be lost, but also to improve the efficiency of computing, but also can be a variety of data storage. For a variety of computing frameworks are also supported, not only can be off-line calculation can also be online real-time calculation.

Second, the ecological circle mature

The maturity of the biosphere means future development, which means a better market in the future and a more qiantu job.

Third, why can reduce costs

When we are sure we can solve the problem, we should consider the cost first.

1. Hardware cost

Because the architecture of Hadoop is based on a lower-priced server, the hardware that supports the server does not need to be expensive.

2. Software costs

Basically open source products are free, in the open source agreement, can be free to modify, controllable will be even greater.

3. Development costs

Due to its two development, the job requirements for developers are not very high.

4. Maintenance costs

When a large-scale cluster, the cost of development and maintenance will be directly highlighted. But it's a lot cheaper for newly developed systems.

5. Other costs

The Hadoop server is a community service with very low cost and is basically available to everyone. You can process clutter of PB-level data, and you can use distributed processing to store data after failure. The high scalability of Hadoop: the allocation of data between computer clusters and the completion of computing tasks can be easily extended to other types of nodes.

High efficiency: Can move the data freely between the nodes, and can keep each dynamic node balance, so the processing speed is very fast.

High fault tolerance: multiple copies of the data can be automatically saved, and the Purple River will be able to each failure of the task redistribution.