Huawei: Big Data age are you ready?

After the March 11, 2011 earthquake in Japan, the National Oceanic and Atmospheric Administration (NOAA) released detailed tsunami warnings in 9 minutes after analyzing massive amounts of data, including land-based, coastal, marine, marine and atmospheric resources. NOAA's IT budget of 1 billion dollars a year, although expensive, but very enjoyable, because this information about life, this data can save lives, change the world. In this era of information explosion, are you ready to face the massive message?

The arrival of the big data age

In recent years, Internet, cloud computing, mobile terminals and IoT have developed rapidly. Increasingly sophisticated corporate customer information data, shop transactions, video surveillance terminals generated information data, blogs, microblogs, photos, video, and so on, the data every second in the explosion produced ...; The world officially entered the ZB ERA in 2010, according to IDC estimates that by 2020 the world will have a total of 35ZB of data volume, compared to 2009, the volume of data will increase 44 times times. March 2012, the Obama administration unveiled a big data plan, the first batch announced investment 200 million dollars. The "Twelve-Five" project, released by the Ministry of Public Information, was put forward as one of the 4 key technological innovation projects--no doubt, we have entered the "Big Data Age", and big data is changing business, life and even government.

Change on Demand

Kodak, who used to be a photographer, came tumbling down at the age of 132, while 1962 created the King of Retail, Wal-Mart, the retailer's first in a row for many years, and the 350-member Facebook only spent 8 years, with a market capitalisation of 115.2 billion dollars a day, Become the largest technology company IPO in history. Change brings not only challenges, but also opportunities, and even the chance to overtake in corners.

Challenges and opportunities before everyone is equal, then survival, development, beyond the silver bullet is what? Silver bullets are big data, which is a big value in big data. Wal-Mart, one of the first companies to benefit from the use of large data, analyzed unstructured data such as consumer purchases, and Wal-Mart became the retailer most knowledgeable about customers ' shopping habits and created a classic business case for "beer and diapers". Wal-Mart once owned the world's largest data warehouse system, with data centers 167 times times the size of the US Library of Congress. Facebook generates a lot of structure and unstructured data every second, one consumer drive model contains the user's propensity to consume, the "data" mining analysis greatly improves the accuracy of advertising, and can predict the development trend of many industries through user behavior, which contains great commercial value. Facebook's 115.2 billion-dollar IPO is largely a recognition of the value of big data. Large data era, the management of large data, mining large data in the great value, seize the opportunity, can be invincible.

Challenges and opportunities coexist

Large data has 4 "V" Features: Volume, produced, Velocity, Value. To grasp the large data, digging out the value of large data, from a technical point of view, two problems need to be resolved: data storage, data analysis. The volume attribute of large data-the term "mass data" has been extended from the 70 's, and is taking a leap from quantitative to qualitative. The qualitative change is that there has never been a time when data is so dependent, while traditional data processing and data management technologies are being challenged directly by today's "massive data".

(a) ZB level of data management and data analysis, not traditional it server, tape, vertical expansion equipment can be carried, the order of magnitude and complexity to reach a level, leading enterprises to carry out information technology and business innovation. The traditional use of SPSS statistical analysis software modeling method has been somewhat inadequate, and if the use of sampling statistical analysis, some new user behavior characteristics or business trends will be ignored.

(b) Where the world economy is tightening and the high it budget should be put into place. According to the survey enterprise currently 73% of the budget is used in the basic business operation, the rest of the business operations have a supporting role. The CIO's pain lies in the growing expansion of the IT infrastructure simply because the number of businesses is rising and not bringing real value to the business.

(c) According to statistics, more than 80% of the ZB level data is semi-structured and unstructured. In order to deal with the "big Data" wave, many enterprises have some structured processing ability, based on the unstructured data to the Hadoop. But after deep exploration, some investors have given the impression that using Hadoop to build analytic queries can become similar to a hammer-building activity: a terrible performance in a particular data-model analysis task, a high cost of late development and maintenance, an island of enterprise information, and a data single point of failure.

So is it true that "big data" poses a revolutionary challenge to business? The answer is yes. So does it mean that "big data" requires revolutionary technological innovation? The answer is no.

The easy way to melt

The "Big Data" scroll, we can see the following status:

A. Many companies are responding to the arrival of the big data age, and the expensive structured data solutions provided by the database manufacturers are unable to adapt to the enterprise's tightening it budgets, as well as the demands of massive data analysis; companies are looking to the open source system of Hadoop but are in a dilemma.

B. It vendors are also aware of the problem and are integrating Hadoop into large data solutions to cater to the place where Hadoop has occupied large data areas;

C. The simple grafting mentioned above, enterprises in the business system, archiving systems, data analysis systems isolated from each other embarrassing situation, while facing high TCO of it budget problems;

In response to the above situation, Huawei has launched a large data storage solution of X-one. Solution, the massive structure, integrated storage of unstructured data, unified parallel task scheduling framework supports structured, unstructured mass data cleaning, data analysis, life-cycle management of massive data, support for archive, compress and power off of historical data; The historical data is still in the engine management of massive data; Through the content perception (metadata management) of the massive unstructured data, the search engine of the massive unstructured data is established, which accelerates the fast access of hotspot data. Huawei's large data storage solution through the integration scheme, the diversity of data storage, analysis, backup and archiving, to solve the information islands, but also to solve the business with the development of the volume and performance of the rising demand, at the same time, in accordance with the changes in demand for capacity and performance expansion, maintain a low TCO.

We can see Facebook, Wal-Mart, and so on that have been able to adapt to big data trends, and we've seen companies actively looking for transformation in the big data stream, and 70% of corporate customers are investing in IT infrastructure reform for nearly 5 years and 5 years. Big data, changing the world; Huawei storage needs to be changed to fit the business need; the integration of the big Data era to hold large data, grasp the great value of large data, hold the future.