2014 will be the year of big data

The http://www.aliyun.com/zixun/aggregation/3783.html > Harvard Business Review spent all of its September editions on Big Data, and focused on Hadoop. The paper argues that large data scientists will become promising careers, and these big data scientists will also be experts advising companies on how to use large data technologies.

Like many of the people who started startups and led the company, I often read the Harvard Business Review. I don't have a business degree. As a result of compulsive reading disorders (which I think are caused by early onset presbyopia, this eye disease means that you are really old), I'll look at what I learned from the observer. It's unusual for the Harvard Business Review to look ahead to the development of technology-I rarely see them publishing articles about relatively new open-source projects like Hadoop.

Gartner predicts that big data will generate 34 billion of billions of dollars in IT spending in 2013, which is expected to grow three times-fold by 2018. We also discovered this year that the National Security Agency (NSA) has become a major user of large data technology. The Government may not be able to create a website that allows us all to buy health insurance, but in creating a large domestic surveillance network, they do.

We also see 10gen renaming their names to MongoDB, and getting 1.2 billion of dollars in valuations and breaking 9-digit funds, which means they may be making IPOs rather than mergers. There is plenty of money in the Big data field. Among them, Hortonworks obtained 50 million dollar financing, DataStax obtained 45 million dollar financing, Couchbase obtained 25 million dollar financing.

Over the past few years, we have seen many of the "forced" technologies Facebook, Yahoo, Twitter, and LinkedIn have encountered many previously unseen data and usage issues. While these companies are even outpacing some countries in terms of data and concurrent usage, they are often viewed as a fad or surrounded by non-critical data, making it difficult to be a model for mainstream companies.

Still, we've seen a lot of pretty conservative customers change their attitude and start deploying NoSQL technology, especially MongoDB technology. In 2013, "Log Analysis" became the killer application of Hadoop and this year's pilot project. We are also beginning to see many more serious ideas being applied to solutions and related issues.

This phenomenon is not regional but global. In Brazil, key-value stores have been deployed to promote throughput in a large data project. Solving problems with social media and entertainment may be just the beginning of big data solutions that are now expanding into areas such as education, health care and finance.

In addition, we found that this large data development momentum last year was very strong. In the 3721.html ">2014 years, if Oracle's sales representatives did not turn into a representative of large data makers, even the more conservative IT departments would no longer be willing to communicate with local Oracle sales representatives."