Big Data Options

March 27 News, according to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> media reports, Big data is in full swing, your thing is time to participate in the big data of the" tide ". But where do we start? For those services and providers, each choice is not simple. While many of the options at first seem daunting, once you understand the company's target for big data, you will appreciate the changes that big data has brought to the business. In the decision to implement large ...

March 27 News, according to foreign media reports, big data is in full swing, your thing is time to participate in large data "wave" came. But where do we start? For those services and providers, each choice is not simple. While many of the options at first seem daunting, once you understand the company's target for big data, you will appreciate the changes that big data has brought to the business. After deciding to implement large data, you will want to decide whether to store the data in the site or in the cloud. Objectively, the purpose of implementing large data and existing resources will determine which storage options can be better filled ...

According to foreign media reports, big data is in full swing, your thing is time to participate in the big Data "wave" in. But where do we start? For those services and providers, each choice is not simple. 　　While many of the options at first seem daunting, once you understand the company's target for big data, you will appreciate the changes that big data has brought to the business. After deciding to implement large data, you will want to decide whether to store the data in the site or in the cloud. Objectively, the purpose of implementing large data and existing resources will determine which storage ...

In the Cloud deployment Http://www.aliyun.com/zixun/aggregation/8213.html "> Large data applications, the enterprise has a variety of options, and the number of choices is increasing." Having more choices means that the IT team also has to make some important decisions. Should they rely on cloud devices or build the necessary infrastructure themselves? The first wave of large data cloud devices began last year. Cloudera, EMC, Yahoo's hortonworks ...

The coming 2013 is considered to be a "year of big Data" with a trans-era significance. In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies have started to practice big data. In order to further understand the real situation of large data application of Chinese enterprises ...

Currently, the Hadoop-based big data open source ecosystem is widely used. At the earliest, Hadoop was considered to be deployed only in a trusted environment, and as more departments and users joined, any user could access and delete data, putting data at great security risk.

The big data age is not popping up, and in fact, in the past few decades, mathematical analysis has dabbled in the financial sector, with Nobel laureate Harry Markwitz, William Sharp, Robert Engle uses econometric knowledge and financial market data to establish mathematical models to predict the relationship between product returns and risk volatility in financial markets. The emergence of a large data age is simply a result of the combination of massive data and perfect computing power. To be exact, mobile Internet and IoT produce huge data, and large data computing technology solves the collection, storage and calculation of massive data perfectly 、...

Large data Applications March 2012 The Obama administration issued a "Big data research and development plan". In response, the National Science Foundation, the National Institutes of Health, the Ministry of Defence, the Department of Energy and the United States Geological Survey are investing in big data innovation. Many companies in the United States are conducting their business activities around large data acquisition and utilization capabilities as part of their product or operational backend. Research groups, governments and the private sector are also speeding up the generation of large datasets of various themes, including: Climate change, traffic patterns, health and disease data, buying behavior ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem. 　　In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following is the enterprise should know the surrounding ...